Files
udlbook/src/components/Instructors/index.jsx
2024-06-06 00:23:19 +01:00

503 lines
33 KiB
JavaScript

import img from "../../images/instructor.svg";
import {
Column1,
Column2,
Heading,
Img,
ImgWrap,
InstructorsContainer,
InstructorsContent,
InstructorsLink,
InstructorsRow,
InstructorsRow2,
InstructorsWrapper,
Subtitle,
TextWrapper,
TopLine,
} from "./InstructorsElements";
const InstructorsSection = () => {
return (
<>
<InstructorsContainer lightBg={true} id="Instructors">
<InstructorsWrapper>
<InstructorsRow imgStart={false}>
<Column1>
<TextWrapper>
<TopLine>Instructors</TopLine>
<Heading lightText={false}>Resources for instructors</Heading>
<Subtitle darkText={true}>
All the figures in vector and image formats, full slides for
first twelve chapters, instructor answer booklet
</Subtitle>
</TextWrapper>
</Column1>
<Column2>
<ImgWrap>
<Img src={img} alt="Car" />
</ImgWrap>
</Column2>
</InstructorsRow>
<InstructorsRow2>
<Column1>
<TopLine>Register</TopLine>
<InstructorsLink href="https://mitpress.ublish.com/request?cri=15055">
Register
</InstructorsLink>{" "}
with MIT Press for answer booklet.
<InstructorsContent></InstructorsContent>
<TopLine>Full slides</TopLine>
<InstructorsContent>
Slides for 20 lecture undergraduate deep learning course:
</InstructorsContent>
<InstructorsContent>
<ol>
<li>
Introduction{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=17RHb11BrydOvxSFNbRIomE1QKLVI087m">
PPTX
</InstructorsLink>
</li>
<li>
Supervised Learning{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1491zkHULC7gDfqlV6cqUxyVYXZ-de-Ub">
PPTX
</InstructorsLink>
</li>
<li>
Shallow Neural Networks{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1XkP1c9EhOBowla1rT1nnsDGMf2rZvrt7">
PPTX
</InstructorsLink>
</li>
<li>
Deep Neural Networks{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1e2ejfZbbfMKLBv0v-tvBWBdI8gO3SSS1">
PPTX
</InstructorsLink>
</li>
<li>
Loss Functions{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1fxQ_a1Q3eFPZ4kPqKbak6_emJK-JfnRH">
PPTX
</InstructorsLink>
</li>
<li>
Fitting Models{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=17QQ5ZzXBtR_uCNCUU1gPRWWRUeZN9exW">
PPTX
</InstructorsLink>
</li>
<li>
Computing Gradients{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1hC8JUCOaFWiw3KGn0rm7nW6mEq242QDK">
PPTX
</InstructorsLink>
</li>
<li>
Initialization{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1tSjCeAVg0JCeBcPgDJDbi7Gg43Qkh9_d">
PPTX
</InstructorsLink>
</li>
<li>
Performance{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1RVZW3KjEs0vNSGx3B2fdizddlr6I0wLl">
PPTX
</InstructorsLink>
</li>
<li>
Regularization{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1LTicIKPRPbZRkkg6qOr1DSuOB72axood">
PPTX
</InstructorsLink>
</li>
<li>
Convolutional Networks{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1bGVuwAwrofzZdfvj267elIzkYMIvYFj0">
PPTX
</InstructorsLink>
</li>
<li>
Image Generation{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=14w31QqWRDix1GdUE-na0_E0kGKBhtKzs">
PPTX
</InstructorsLink>
</li>
<li>
Transformers and LLMs{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1af6bTTjAbhDYfrDhboW7Fuv52Gk9ygKr">
PPTX
</InstructorsLink>
</li>
</ol>
</InstructorsContent>
</Column1>
<Column2>
<TopLine>Figures</TopLine>
<InstructorsContent>
<ol>
<li>
{" "}
Introduction:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap1PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1udnl5pUOAc8DcAQ7HQwyzP9pwL95ynnv">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1IjTqIUvWCJc71b5vEJYte-Dwujcp7rvG/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX{" "}
</InstructorsLink>
</li>
<li>
{" "}
Supervised learning:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap2PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1VSxcU5y1qNFlmd3Lb3uOWyzILuOj1Dla">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1Br7R01ROtRWPlNhC_KOommeHAWMBpWtz/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Shallow neural networks:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap3PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=19kZFWlXhzN82Zx02ByMmSZOO4T41fmqI">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1e9M3jB5I9qZ4dCBY90Q3Hwft_i068QVQ/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Deep neural networks:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap4PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1ojr0ebsOhzvS04ItAflX2cVmYqHQHZUa">
{" "}
SVG
</InstructorsLink>
/
<InstructorsLink href="https://docs.google.com/presentation/d/1LTSsmY4mMrJbqXVvoTOCkQwHrRKoYnJj/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Loss functions:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap5PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=17MJO7fiMpFZVqKeqXTbQ36AMpmR4GizZ">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1gcpC_3z9oRp87eMkoco-kdLD-MM54Puk/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Training models:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap6PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1VPdhFRnCr9_idTrX0UdHKGAw2shUuwhK">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1AKoeggAFBl9yLC7X5tushAGzCCxmB7EY/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Gradients and initialization:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap7PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1TTl4gvrTvNbegnml4CoGoKOOd6O8-PGs">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/11zhB6PI-Dp6Ogmr4IcI6fbvbqNqLyYcz/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Measuring performance:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap8PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=19eQOnygd_l0DzgtJxXuYnWa4z7QKJrJx">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1SHRmJscDLUuQrG7tmysnScb3ZUAqVMZo/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Regularization:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap9PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1LprgnUGL7xAM9-jlGZC9LhMPeefjY0r0">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1VwIfvjpdfTny6sEfu4ZETwCnw6m8Eg-5/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Convolutional networks:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap10PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1-Wb3VzaSvVeRzoUzJbI2JjZE0uwqupM9">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1MtfKBC4Y9hWwGqeP6DVwUNbi1j5ncQCg/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Residual networks:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap11PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1Mr58jzEVseUAfNYbGWCQyDtEDwvfHRi1">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1saY8Faz0KTKAAifUrbkQdLA2qkyEjOPI/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Transformers:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap12PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1txzOVNf8-jH4UfJ6SLnrtOfPd1Q3ebzd">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1GVNvYWa0WJA6oKg89qZre-UZEhABfm0l/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Graph neural networks:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap13PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1lQIV6nRp6LVfaMgpGFhuwEXG-lTEaAwe">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1YwF3U82c1mQ74c1WqHVTzLZ0j7GgKaWP/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Unsupervised learning:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap14PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1aMbI6iCuUvOywqk5pBOmppJu1L1anqsM">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1A-lBGv3NHl4L32NvfFgy1EKeSwY-0UeB/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
GANs:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap15PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1EErnlZCOlXc3HK7m83T2Jh_0NzIUHvtL">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/10Ernk41ShOTf4IYkMD-l4dJfKATkXH4w/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Normalizing flows:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap16PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1SNtNIY7khlHQYMtaOH-FosSH3kWwL4b7">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1nLLzqb9pdfF_h6i1HUDSyp7kSMIkSUUA/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Variational autoencoders:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap17PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1B9bxtmdugwtg-b7Y4AdQKAIEVWxjx8l3">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1lQE4Bu7-LgvV2VlJOt_4dQT-kusYl7Vo/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Diffusion models:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap18PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1A-pIGl4PxjVMYOKAUG3aT4a8wD3G-q_r">
{" "}
SVG
</InstructorsLink>{" "}
/
<InstructorsLink href="https://docs.google.com/presentation/d/1x_ufIBtVPzWUvRieKMkpw5SdRjXWwdfR/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Deep reinforcement learning:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap19PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1a5WUoF7jeSgwC_PVdckJi1Gny46fCqh0">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1TnYmVbFNhmMFetbjyfXGmkxp1EHauMqr/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX{" "}
</InstructorsLink>
</li>
<li>
{" "}
Why does deep learning work?:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap20PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1M2d0DHEgddAQoIedKSDTTt7m1ZdmBLQ3">
{" "}
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1coxF4IsrCzDTLrNjRagHvqB_FBy10miA/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Deep learning and ethics:{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap21PDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1jixmFfwmZkW_UVYzcxmDcMsdFFtnZ0bU">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1EtfzanZYILvi9_-Idm28zD94I_6OrN9R/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
<li>
{" "}
Appendices -{" "}
<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLAppendixPDF.zip">
PDF
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1k2j7hMN40ISPSg9skFYWFL3oZT7r8v-l">
SVG
</InstructorsLink>{" "}
/{" "}
<InstructorsLink href="https://docs.google.com/presentation/d/1_2cJHRnsoQQHst0rwZssv-XH4o5SEHks/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
PPTX
</InstructorsLink>
</li>
</ol>
</InstructorsContent>
<InstructorsLink href="https://drive.google.com/file/d/1T_MXXVR4AfyMnlEFI-UVDh--FXI5deAp/view?usp=sharing">
Instructions
</InstructorsLink>{" "}
for editing equations in figures.
<InstructorsContent></InstructorsContent>
</Column2>
</InstructorsRow2>
</InstructorsWrapper>
</InstructorsContainer>
</>
);
};
export default InstructorsSection;