notebooks dynamic rendering
This commit is contained in:
Tom Heaton
@@ -1,7 +1,7 @@
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# ignore these directories when formatting the repo
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Blogs
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CM20315
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CM20315_2023
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Notebooks
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PDFFigures
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Slides
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/Blogs
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/CM20315
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/CM20315_2023
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/Notebooks
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/PDFFigures
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/Slides
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@@ -3,12 +3,12 @@ import styled from "styled-components";
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export const NotebookContainer = styled.div`
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color: #fff;
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/* background: #f9f9f9; */
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background: ${({lightBg}) => (lightBg ? '#f9f9f9': '#010606')};
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background: ${({ lightBg }) => (lightBg ? "#f9f9f9" : "#010606")};
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@media screen and (max-width: 768px) {
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padding: 100px 0;
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}
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`
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`;
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export const NotebookWrapper = styled.div`
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display: grid;
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@@ -20,18 +20,19 @@ export const NotebookWrapper = styled.div`
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margin-left: auto;
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padding: 0 24px;
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justify-content: center;
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`
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`;
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export const NotebookRow = styled.div`
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display: grid;
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grid-auto-columns: minmax(auto, 1fr);
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align-items: center;
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grid-template-areas: ${({imgStart}) => (imgStart ? `'col2 col1'` : `'col1 col2'`)};
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grid-template-areas: ${({ imgStart }) => (imgStart ? `'col2 col1'` : `'col1 col2'`)};
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@media screen and (max-width: 768px){
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grid-template-areas: ${({imgStart}) => (imgStart ? `'col1' 'col2'` : `'col1 col1' 'col2 col2'`)};
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@media screen and (max-width: 768px) {
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grid-template-areas: ${({ imgStart }) =>
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imgStart ? `'col1' 'col2'` : `'col1 col1' 'col2 col2'`};
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}
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`
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`;
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export const Column1 = styled.p`
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margin-bottom: 15px;
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@@ -45,7 +46,7 @@ export const Column1 = styled.p`
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@media screen and (max-width: 768px) {
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font-size: 10px;
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}
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`
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`;
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export const Column2 = styled.p`
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margin-bottom: 15px;
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@@ -59,13 +60,13 @@ export const Column2 = styled.p`
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@media screen and (max-width: 768px) {
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font-size: 10px;
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}
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`
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`;
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export const TextWrapper = styled.div`
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max-width: 540px;
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padding-top: 0;
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padding-bottom: 0;
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`
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`;
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export const TopLine = styled.p`
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color: #57c6d1;
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@@ -75,37 +76,37 @@ export const TopLine = styled.p`
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letter-spacing: 1.4px;
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text-transform: uppercase;
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margin-bottom: 16px;
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`
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`;
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export const Heading= styled.h1`
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export const Heading = styled.h1`
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margin-bottom: 24px;
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font-size: 48px;
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line-height: 1.1;
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font-weight: 600;
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color: ${({lightText}) => (lightText ? '#f7f8fa' : '#010606')};
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color: ${({ lightText }) => (lightText ? "#f7f8fa" : "#010606")};
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@media screen and (max-width: 480px) {
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font-size: 32px;
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}
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`
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`;
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export const Subtitle = styled.p`
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max-width: 440px;
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margin-bottom: 35px;
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font-size: 18px;
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line-height: 24px;
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color: ${({darkText})=> (darkText ? '#010606' : '#fff')};
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`
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color: ${({ darkText }) => (darkText ? "#010606" : "#fff")};
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`;
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export const BtnWrap = styled.div`
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display: flex;
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justify-content: flex-start;
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`
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`;
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export const ImgWrap = styled.div`
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max-width: 555px;
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height: 100%;
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`
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`;
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export const Img = styled.img`
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width: 100%;
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@@ -117,28 +118,30 @@ export const Img = styled.img`
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export const NBLink = styled.a`
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text-decoration: none;
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color: #57c6d1;;
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color: #57c6d1;
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font-weight: 300;
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margin: 0 2px;
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position: relative;
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&:before{
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&:before {
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position: absolute;
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margin: 0 auto;
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top: 100%;
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left: 0;
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width: 100%;
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height: 2px;
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background-color: #57c6d1;;
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content: '';
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opacity: .3;
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background-color: #57c6d1;
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content: "";
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opacity: 0.3;
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-webkit-transform: scaleX(1);
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transition-property: opacity, -webkit-transform;
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transition-duration: .3s;
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transition-property:
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opacity,
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-webkit-transform;
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transition-duration: 0.3s;
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}
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&:hover:before {
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opacity: 1;
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-webkit-transform: scaleX(1.05);
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}
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`
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`;
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@@ -1,195 +1,342 @@
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import img from '../../images/coding.svg'
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import { Column1, Column2, Heading, Img, ImgWrap, NBLink, NotebookContainer, NotebookRow, NotebookWrapper, Subtitle, TextWrapper, TopLine } from './NotebookElements'
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import img from "../../images/coding.svg";
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import {
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Column1,
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Column2,
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Heading,
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Img,
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ImgWrap,
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NBLink,
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NotebookContainer,
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NotebookRow,
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NotebookWrapper,
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Subtitle,
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TextWrapper,
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TopLine,
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} from "./NotebookElements";
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const notebooks = [
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{
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text: "Notebook 1.1 - Background mathematics",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap01/1_1_BackgroundMathematics.ipynb",
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},
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{
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text: "Notebook 2.1 - Supervised learning",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap02/2_1_Supervised_Learning.ipynb",
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},
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{
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text: "Notebook 3.1 - Shallow networks I",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb",
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},
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{
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text: "Notebook 3.2 - Shallow networks II",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_2_Shallow_Networks_II.ipynb",
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},
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{
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text: "Notebook 3.3 - Shallow network regions",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_3_Shallow_Network_Regions.ipynb",
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},
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{
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text: "Notebook 3.4 - Activation functions",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_4_Activation_Functions.ipynb",
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},
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{
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text: "Notebook 4.1 - Composing networks",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_1_Composing_Networks.ipynb",
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},
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{
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text: "Notebook 4.2 - Clipping functions",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_2_Clipping_functions.ipynb",
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},
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{
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text: "Notebook 4.3 - Deep networks",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_3_Deep_Networks.ipynb",
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},
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{
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text: "Notebook 5.1 - Least squares loss",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb",
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},
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{
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text: "Notebook 5.2 - Binary cross-entropy loss",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_2_Binary_Cross_Entropy_Loss.ipynb",
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},
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{
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text: "Notebook 5.3 - Multiclass cross-entropy loss",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_3_Multiclass_Cross_entropy_Loss.ipynb",
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},
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{
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text: "Notebook 6.1 - Line search",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_1_Line_Search.ipynb",
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},
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{
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text: "Notebook 6.2 - Gradient descent",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_2_Gradient_Descent.ipynb",
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},
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{
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text: "Notebook 6.3 - Stochastic gradient descent",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb",
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},
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{
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text: "Notebook 6.4 - Momentum",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_4_Momentum.ipynb",
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},
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{
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text: "Notebook 6.5 - Adam",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_5_Adam.ipynb",
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},
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{
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text: "Notebook 7.1 - Backpropagation in toy model",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_1_Backpropagation_in_Toy_Model.ipynb",
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},
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{
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text: "Notebook 7.2 - Backpropagation",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_2_Backpropagation.ipynb",
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},
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{
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text: "Notebook 7.3 - Initialization",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_3_Initialization.ipynb",
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},
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{
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text: "Notebook 8.1 - MNIST-1D performance",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_1_MNIST_1D_Performance.ipynb",
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},
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{
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text: "Notebook 8.2 - Bias-variance trade-off",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_2_Bias_Variance_Trade_Off.ipynb",
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},
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{
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text: "Notebook 8.3 - Double descent",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_3_Double_Descent.ipynb",
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},
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{
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text: "Notebook 8.4 - High-dimensional spaces",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_4_High_Dimensional_Spaces.ipynb",
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},
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{
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text: "Notebook 9.1 - L2 regularization",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_1_L2_Regularization.ipynb",
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},
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{
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text: "Notebook 9.2 - Implicit regularization",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_2_Implicit_Regularization.ipynb",
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},
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{
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text: "Notebook 9.3 - Ensembling",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_3_Ensembling.ipynb",
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},
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{
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text: "Notebook 9.4 - Bayesian approach",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_4_Bayesian_Approach.ipynb",
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},
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{
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text: "Notebook 9.5 - Augmentation",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_5_Augmentation.ipynb",
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},
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{
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text: "Notebook 10.1 - 1D convolution",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_1_1D_Convolution.ipynb",
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},
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{
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text: "Notebook 10.2 - Convolution for MNIST-1D",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb",
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},
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{
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text: "Notebook 10.3 - 2D convolution",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_3_2D_Convolution.ipynb",
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},
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{
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text: "Notebook 10.4 - Downsampling & upsampling",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_4_Downsampling_and_Upsampling.ipynb",
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},
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{
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text: "Notebook 10.5 - Convolution for MNIST",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_5_Convolution_For_MNIST.ipynb",
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},
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{
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text: "Notebook 11.1 - Shattered gradients",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_1_Shattered_Gradients.ipynb",
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},
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{
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text: "Notebook 11.2 - Residual networks",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_2_Residual_Networks.ipynb",
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},
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{
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text: "Notebook 11.3 - Batch normalization",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_3_Batch_Normalization.ipynb",
|
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},
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{
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text: "Notebook 12.1 - Self-attention",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_1_Self_Attention.ipynb",
|
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},
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{
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text: "Notebook 12.2 - Multi-head self-attention",
|
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_2_Multihead_Self_Attention.ipynb",
|
||||
},
|
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{
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text: "Notebook 12.3 - Tokenization",
|
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_3_Tokenization.ipynb",
|
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},
|
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{
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text: "Notebook 12.4 - Decoding strategies",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_4_Decoding_Strategies.ipynb",
|
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},
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{
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text: "Notebook 13.1 - Encoding graphs",
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_1_Graph_Representation.ipynb",
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},
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{
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text: "Notebook 13.2 - Graph classification",
|
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_2_Graph_Classification.ipynb",
|
||||
},
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{
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text: "Notebook 13.3 - Neighborhood sampling",
|
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link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_3_Neighborhood_Sampling.ipynb",
|
||||
},
|
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{
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text: "Notebook 13.4 - Graph attention",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_4_Graph_Attention_Networks.ipynb",
|
||||
},
|
||||
{
|
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text: "Notebook 15.1 - GAN toy example",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_1_GAN_Toy_Example.ipynb",
|
||||
},
|
||||
{
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text: "Notebook 15.2 - Wasserstein distance",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_2_Wasserstein_Distance.ipynb",
|
||||
},
|
||||
{
|
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text: "Notebook 16.1 - 1D normalizing flows",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_1_1D_Normalizing_Flows.ipynb",
|
||||
},
|
||||
{
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||||
text: "Notebook 16.2 - Autoregressive flows",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 16.3 - Contraction mappings",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_3_Contraction_Mappings.ipynb",
|
||||
},
|
||||
{
|
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text: "Notebook 17.1 - Latent variable models",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 17.2 - Reparameterization trick",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_2_Reparameterization_Trick.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 17.3 - Importance sampling",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_3_Importance_Sampling.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 18.1 - Diffusion encoder",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 18.2 - 1D diffusion model",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_2_1D_Diffusion_Model.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 18.3 - Reparameterized model",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_3_Reparameterized_Model.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 18.4 - Families of diffusion models",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_4_Families_of_Diffusion_Models.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 19.1 - Markov decision processes",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_1_Markov_Decision_Processes.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 19.2 - Dynamic programming",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_2_Dynamic_Programming.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 19.3 - Monte-Carlo methods",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_3_Monte_Carlo_Methods.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 19.4 - Temporal difference methods",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_4_Temporal_Difference_Methods.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 19.5 - Control variates",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_5_Control_Variates.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 20.1 - Random data",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_1_Random_Data.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 20.2 - Full-batch gradient descent",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_2_Full_Batch_Gradient_Descent.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 20.3 - Lottery tickets",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_3_Lottery_Tickets.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 20.4 - Adversarial attacks",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_4_Adversarial_Attacks.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 21.1 - Bias mitigation",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap21/21_1_Bias_Mitigation.ipynb",
|
||||
},
|
||||
{
|
||||
text: "Notebook 21.2 - Explainability",
|
||||
link: "https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap21/21_2_Explainability.ipynb",
|
||||
},
|
||||
];
|
||||
|
||||
export default function NotebookSection() {
|
||||
return (
|
||||
<>
|
||||
<NotebookContainer lightBg={false} id='Notebooks'>
|
||||
<NotebookWrapper>
|
||||
<NotebookRow imgStart={true}>
|
||||
<Column1>
|
||||
<TextWrapper>
|
||||
<TopLine>Coding exercises</TopLine>
|
||||
<Heading lightText={true}>Python notebooks covering the whole text</Heading>
|
||||
<Subtitle darkText={false}>Sixty eight python notebook exercises with missing code to fill in based on the text</Subtitle>
|
||||
</TextWrapper>
|
||||
</Column1>
|
||||
<Column2>
|
||||
<ImgWrap>
|
||||
<Img src={img} alt='Car'/>
|
||||
</ImgWrap>
|
||||
</Column2>
|
||||
</NotebookRow>
|
||||
<NotebookRow>
|
||||
<Column1>
|
||||
<ul>
|
||||
<li> Notebook 1.1 - Background mathematics: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap01/1_1_BackgroundMathematics.ipynb">ipynb/colab</NBLink>
|
||||
</li>
|
||||
<li> Notebook 2.1 - Supervised learning: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap02/2_1_Supervised_Learning.ipynb">ipynb/colab</NBLink>
|
||||
</li>
|
||||
<li> Notebook 3.1 - Shallow networks I: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_1_Shallow_Networks_I.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 3.2 - Shallow networks II: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_2_Shallow_Networks_II.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 3.3 - Shallow network regions: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_3_Shallow_Network_Regions.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 3.4 - Activation functions: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap03/3_4_Activation_Functions.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 4.1 - Composing networks: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_1_Composing_Networks.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 4.2 - Clipping functions: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_2_Clipping_functions.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 4.3 - Deep networks: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap04/4_3_Deep_Networks.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 5.1 - Least squares loss: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_1_Least_Squares_Loss.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 5.2 - Binary cross-entropy loss: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_2_Binary_Cross_Entropy_Loss.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 5.3 - Multiclass cross-entropy loss: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap05/5_3_Multiclass_Cross_entropy_Loss.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 6.1 - Line search: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_1_Line_Search.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 6.2 - Gradient descent: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_2_Gradient_Descent.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 6.3 - Stochastic gradient descent: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_3_Stochastic_Gradient_Descent.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 6.4 - Momentum: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_4_Momentum.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 6.5 - Adam: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap06/6_5_Adam.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 7.1 - Backpropagation in toy model: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_1_Backpropagation_in_Toy_Model.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 7.2 - Backpropagation: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_2_Backpropagation.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 7.3 - Initialization: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap07/7_3_Initialization.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 8.1 - MNIST-1D performance: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_1_MNIST_1D_Performance.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 8.2 - Bias-variance trade-off: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_2_Bias_Variance_Trade_Off.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 8.3 - Double descent: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_3_Double_Descent.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 8.4 - High-dimensional spaces: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap08/8_4_High_Dimensional_Spaces.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 9.1 - L2 regularization: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_1_L2_Regularization.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 9.2 - Implicit regularization: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_2_Implicit_Regularization.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 9.3 - Ensembling: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_3_Ensembling.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 9.4 - Bayesian approach: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_4_Bayesian_Approach.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 9.5 - Augmentation <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap09/9_5_Augmentation.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 10.1 - 1D convolution: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_1_1D_Convolution.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 10.2 - Convolution for MNIST-1D: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_2_Convolution_for_MNIST_1D.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 10.3 - 2D convolution: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_3_2D_Convolution.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 10.4 - Downsampling & upsampling: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_4_Downsampling_and_Upsampling.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 10.5 - Convolution for MNIST: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap10/10_5_Convolution_For_MNIST.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
</ul>
|
||||
</Column1>
|
||||
<Column2>
|
||||
<NotebookContainer lightBg={false} id="Notebooks">
|
||||
<NotebookWrapper>
|
||||
<NotebookRow imgStart={true}>
|
||||
<Column1>
|
||||
<TextWrapper>
|
||||
<TopLine>Coding exercises</TopLine>
|
||||
<Heading lightText={true}>
|
||||
Python notebooks covering the whole text
|
||||
</Heading>
|
||||
<Subtitle darkText={false}>
|
||||
Sixty eight python notebook exercises with missing code to fill in
|
||||
based on the text
|
||||
</Subtitle>
|
||||
</TextWrapper>
|
||||
</Column1>
|
||||
<Column2>
|
||||
<ImgWrap>
|
||||
<Img src={img} alt="Coding" />
|
||||
</ImgWrap>
|
||||
</Column2>
|
||||
</NotebookRow>
|
||||
<NotebookRow>
|
||||
<Column1>
|
||||
<ul>
|
||||
<li> Notebook 11.1 - Shattered gradients: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_1_Shattered_Gradients.ipynb">ipynb/colab </NBLink>
|
||||
{/* render first half of notebooks*/}
|
||||
{notebooks.slice(0, notebooks.length / 2).map((notebook, index) => (
|
||||
<li key={index}>
|
||||
{notebook.text}:{" "}
|
||||
<NBLink href={notebook.link}>ipynb/colab</NBLink>
|
||||
</li>
|
||||
<li> Notebook 11.2 - Residual networks: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_2_Residual_Networks.ipynb">ipynb/colab </NBLink>
|
||||
))}
|
||||
</ul>
|
||||
</Column1>
|
||||
<Column2>
|
||||
<ul>
|
||||
{/* render second half of notebooks*/}
|
||||
{notebooks.slice(notebooks.length / 2).map((notebook, index) => (
|
||||
<li key={index}>
|
||||
{notebook.text}:{" "}
|
||||
<NBLink href={notebook.link}>ipynb/colab</NBLink>
|
||||
</li>
|
||||
<li> Notebook 11.3 - Batch normalization: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap11/11_3_Batch_Normalization.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 12.1 - Self-attention: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_1_Self_Attention.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 12.2 - Multi-head self-attention: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_2_Multihead_Self_Attention.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 12.3 - Tokenization: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_3_Tokenization.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 12.4 - Decoding strategies: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap12/12_4_Decoding_Strategies.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 13.1 - Encoding graphs: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_1_Graph_Representation.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 13.2 - Graph classification : <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_2_Graph_Classification.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 13.3 - Neighborhood sampling: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_3_Neighborhood_Sampling.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 13.4 - Graph attention: <NBLink
|
||||
href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap13/13_4_Graph_Attention_Networks.ipynb">ipynb/colab </NBLink>
|
||||
</li>
|
||||
<li> Notebook 15.1 - GAN toy example: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_1_GAN_Toy_Example.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 15.2 - Wasserstein distance: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap15/15_2_Wasserstein_Distance.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 16.1 - 1D normalizing flows: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_1_1D_Normalizing_Flows.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 16.2 - Autoregressive flows: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_2_Autoregressive_Flows.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 16.3 - Contraction mappings: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap16/16_3_Contraction_Mappings.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 17.1 - Latent variable models: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_1_Latent_Variable_Models.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 17.2 - Reparameterization trick: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_2_Reparameterization_Trick.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 17.3 - Importance sampling: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap17/17_3_Importance_Sampling.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 18.1 - Diffusion encoder: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_1_Diffusion_Encoder.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 18.2 - 1D diffusion model: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_2_1D_Diffusion_Model.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 18.3 - Reparameterized model: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_3_Reparameterized_Model.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 18.4 - Families of diffusion models: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap18/18_4_Families_of_Diffusion_Models.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 19.1 - Markov decision processes: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_1_Markov_Decision_Processes.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 19.2 - Dynamic programming: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_2_Dynamic_Programming.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 19.3 - Monte-Carlo methods: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_3_Monte_Carlo_Methods.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 19.4 - Temporal difference methods: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_4_Temporal_Difference_Methods.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 19.5 - Control variates: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap19/19_5_Control_Variates.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 20.1 - Random data: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_1_Random_Data.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 20.2 - Full-batch gradient descent: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_2_Full_Batch_Gradient_Descent.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 20.3 - Lottery tickets: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_3_Lottery_Tickets.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 20.4 - Adversarial attacks: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap20/20_4_Adversarial_Attacks.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 21.1 - Bias mitigation: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap21/21_1_Bias_Mitigation.ipynb">ipynb/colab </NBLink></li>
|
||||
<li> Notebook 21.2 - Explainability: <NBLink href="https://github.com/udlbook/udlbook/blob/main/Notebooks/Chap21/21_2_Explainability.ipynb">ipynb/colab </NBLink></li>
|
||||
</ul>
|
||||
</Column2>
|
||||
</NotebookRow>
|
||||
</NotebookWrapper>
|
||||
</NotebookContainer>
|
||||
</>
|
||||
)
|
||||
))}
|
||||
</ul>
|
||||
</Column2>
|
||||
</NotebookRow>
|
||||
</NotebookWrapper>
|
||||
</NotebookContainer>
|
||||
);
|
||||
}
|
||||
|
||||
Reference in New Issue
Block a user