formatting
This commit is contained in:
Tom Heaton
@@ -1,5 +1,19 @@
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import React from 'react'
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import { ImgWrap, Img, InstructorsLink, InstructorsContainer, InstructorsContent, InstructorsRow2, InstructorsWrapper, InstructorsRow, Column1, Column2, TextWrapper, TopLine, Heading, Subtitle} from './InstructorsElements'
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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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InstructorsContainer,
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InstructorsContent,
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InstructorsLink,
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InstructorsRow,
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InstructorsRow2,
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InstructorsWrapper,
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Subtitle,
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TextWrapper,
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TopLine,
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} from "./InstructorsElements";
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// export const homeObjOne = {
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// id: 'about',
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@@ -19,160 +33,489 @@ import { ImgWrap, Img, InstructorsLink, InstructorsContainer, InstructorsContent
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// darkText: false
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// };
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import img from '../../images/instructor.svg'
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import img from "../../images/instructor.svg";
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const InstructorsSection = () => {
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return (
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<>
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<InstructorsContainer lightBg={true} id='Instructors'>
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<InstructorsContainer lightBg={true} id="Instructors">
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<InstructorsWrapper>
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<InstructorsRow imgStart={false}>
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<Column1>
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<TextWrapper>
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<TopLine>Instructors</TopLine>
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<Heading lightText={false}>Resources for instructors</Heading>
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<Subtitle darkText={true}>All the figures in vector and image formats, full slides for first twelve chapters, instructor answer booklet</Subtitle>
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<Subtitle darkText={true}>
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All the figures in vector and image formats, full slides for
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first twelve chapters, instructor answer booklet
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</Subtitle>
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</TextWrapper>
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</Column1>
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<Column2>
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<ImgWrap>
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<Img src={img} alt='Car'/>
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<Img src={img} alt="Car" />
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</ImgWrap>
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</Column2>
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</InstructorsRow>
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<InstructorsRow2>
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<Column1>
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<TopLine>Register</TopLine>
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<InstructorsLink href="https://mitpress.ublish.com/request?cri=15055">Register</InstructorsLink> with MIT Press for answer booklet.
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<InstructorsContent>
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</InstructorsContent>
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<InstructorsLink href="https://mitpress.ublish.com/request?cri=15055">
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Register
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</InstructorsLink>{" "}
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with MIT Press for answer booklet.
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<InstructorsContent></InstructorsContent>
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<TopLine>Full slides</TopLine>
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<InstructorsContent>
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Slides for 20 lecture undergraduate deep learning course:
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</InstructorsContent>
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<InstructorsContent>
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<ol>
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<li>Introduction <InstructorsLink href="https://drive.google.com/uc?export=download&id=17RHb11BrydOvxSFNbRIomE1QKLVI087m">PPTX</InstructorsLink></li>
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<li>Supervised Learning <InstructorsLink href="https://drive.google.com/uc?export=download&id=1491zkHULC7gDfqlV6cqUxyVYXZ-de-Ub">PPTX</InstructorsLink></li>
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<li>Shallow Neural Networks <InstructorsLink href="https://drive.google.com/uc?export=download&id=1XkP1c9EhOBowla1rT1nnsDGMf2rZvrt7">PPTX</InstructorsLink></li>
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<li>Deep Neural Networks <InstructorsLink href="https://drive.google.com/uc?export=download&id=1e2ejfZbbfMKLBv0v-tvBWBdI8gO3SSS1">PPTX</InstructorsLink></li>
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<li>Loss Functions <InstructorsLink href="https://drive.google.com/uc?export=download&id=1fxQ_a1Q3eFPZ4kPqKbak6_emJK-JfnRH">PPTX</InstructorsLink></li>
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<li>Fitting Models <InstructorsLink href="https://drive.google.com/uc?export=download&id=17QQ5ZzXBtR_uCNCUU1gPRWWRUeZN9exW">PPTX</InstructorsLink></li>
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<li>Computing Gradients <InstructorsLink href="https://drive.google.com/uc?export=download&id=1hC8JUCOaFWiw3KGn0rm7nW6mEq242QDK">PPTX</InstructorsLink></li>
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<li>Initialization <InstructorsLink href="https://drive.google.com/uc?export=download&id=1tSjCeAVg0JCeBcPgDJDbi7Gg43Qkh9_d">PPTX</InstructorsLink></li>
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<li>Performance <InstructorsLink href="https://drive.google.com/uc?export=download&id=1RVZW3KjEs0vNSGx3B2fdizddlr6I0wLl">PPTX</InstructorsLink></li>
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<li>Regularization <InstructorsLink href="https://drive.google.com/uc?export=download&id=1LTicIKPRPbZRkkg6qOr1DSuOB72axood">PPTX</InstructorsLink></li>
|
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<li>Convolutional Networks <InstructorsLink href="https://drive.google.com/uc?export=download&id=1bGVuwAwrofzZdfvj267elIzkYMIvYFj0">PPTX</InstructorsLink></li>
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<li>Image Generation <InstructorsLink href="https://drive.google.com/uc?export=download&id=14w31QqWRDix1GdUE-na0_E0kGKBhtKzs">PPTX</InstructorsLink></li>
|
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<li>Transformers and LLMs <InstructorsLink href="https://drive.google.com/uc?export=download&id=1af6bTTjAbhDYfrDhboW7Fuv52Gk9ygKr">PPTX</InstructorsLink></li>
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<li>
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Introduction{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=17RHb11BrydOvxSFNbRIomE1QKLVI087m">
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PPTX
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</InstructorsLink>
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</li>
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<li>
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Supervised Learning{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1491zkHULC7gDfqlV6cqUxyVYXZ-de-Ub">
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PPTX
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</InstructorsLink>
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</li>
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<li>
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Shallow Neural Networks{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1XkP1c9EhOBowla1rT1nnsDGMf2rZvrt7">
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PPTX
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</InstructorsLink>
|
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</li>
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<li>
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Deep Neural Networks{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1e2ejfZbbfMKLBv0v-tvBWBdI8gO3SSS1">
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PPTX
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</InstructorsLink>
|
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</li>
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<li>
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Loss Functions{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1fxQ_a1Q3eFPZ4kPqKbak6_emJK-JfnRH">
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PPTX
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</InstructorsLink>
|
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</li>
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<li>
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Fitting Models{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=17QQ5ZzXBtR_uCNCUU1gPRWWRUeZN9exW">
|
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PPTX
|
||||
</InstructorsLink>
|
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</li>
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<li>
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Computing Gradients{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1hC8JUCOaFWiw3KGn0rm7nW6mEq242QDK">
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PPTX
|
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</InstructorsLink>
|
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</li>
|
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<li>
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Initialization{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1tSjCeAVg0JCeBcPgDJDbi7Gg43Qkh9_d">
|
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PPTX
|
||||
</InstructorsLink>
|
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</li>
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<li>
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Performance{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1RVZW3KjEs0vNSGx3B2fdizddlr6I0wLl">
|
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PPTX
|
||||
</InstructorsLink>
|
||||
</li>
|
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<li>
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Regularization{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1LTicIKPRPbZRkkg6qOr1DSuOB72axood">
|
||||
PPTX
|
||||
</InstructorsLink>
|
||||
</li>
|
||||
<li>
|
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Convolutional Networks{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1bGVuwAwrofzZdfvj267elIzkYMIvYFj0">
|
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PPTX
|
||||
</InstructorsLink>
|
||||
</li>
|
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<li>
|
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Image Generation{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=14w31QqWRDix1GdUE-na0_E0kGKBhtKzs">
|
||||
PPTX
|
||||
</InstructorsLink>
|
||||
</li>
|
||||
<li>
|
||||
Transformers and LLMs{" "}
|
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1af6bTTjAbhDYfrDhboW7Fuv52Gk9ygKr">
|
||||
PPTX
|
||||
</InstructorsLink>
|
||||
</li>
|
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</ol>
|
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</InstructorsContent>
|
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</InstructorsContent>
|
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</Column1>
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<Column2>
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<TopLine>Figures</TopLine>
|
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<InstructorsContent>
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<ol>
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<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>
|
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<ol>
|
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<li>
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{" "}
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Introduction:{" "}
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<InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/PDFFigures/UDLChap1PDF.zip">
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PDF
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</InstructorsLink>{" "}
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/{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1udnl5pUOAc8DcAQ7HQwyzP9pwL95ynnv">
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{" "}
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SVG
|
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</InstructorsLink>{" "}
|
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/{" "}
|
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<InstructorsLink href="https://docs.google.com/presentation/d/1IjTqIUvWCJc71b5vEJYte-Dwujcp7rvG/edit?usp=drive_link&ouid=110441678248547154185&rtpof=true&sd=true">
|
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PPTX{" "}
|
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</InstructorsLink>
|
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</li>
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|
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<li> Supervised learning: <InstructorsLink
|
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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>
|
||||
/
|
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<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
|
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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>
|
||||
|
||||
<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">
|
||||
{" "}
|
||||
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|
||||
</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">
|
||||
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|
||||
</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">
|
||||
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|
||||
</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">
|
||||
{" "}
|
||||
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|
||||
</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
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</InstructorsLink>{" "}
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||||
/{" "}
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||||
<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>{" "}
|
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/{" "}
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1lQIV6nRp6LVfaMgpGFhuwEXG-lTEaAwe">
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||||
{" "}
|
||||
SVG
|
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</InstructorsLink>{" "}
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||||
/{" "}
|
||||
<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">
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{" "}
|
||||
SVG
|
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</InstructorsLink>{" "}
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||||
/{" "}
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||||
<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">
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{" "}
|
||||
SVG
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</InstructorsLink>{" "}
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||||
/{" "}
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||||
<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>{" "}
|
||||
/{" "}
|
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<InstructorsLink href="https://drive.google.com/uc?export=download&id=1SNtNIY7khlHQYMtaOH-FosSH3kWwL4b7">
|
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{" "}
|
||||
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">
|
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{" "}
|
||||
SVG
|
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</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">
|
||||
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|
||||
SVG
|
||||
</InstructorsLink>{" "}
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||||
/
|
||||
<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>{" "}
|
||||
/{" "}
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||||
<InstructorsLink href="https://drive.google.com/uc?export=download&id=1a5WUoF7jeSgwC_PVdckJi1Gny46fCqh0">
|
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{" "}
|
||||
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|
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</InstructorsLink>{" "}
|
||||
/{" "}
|
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<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">
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{" "}
|
||||
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||||
/{" "}
|
||||
<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
|
||||
export default InstructorsSection;
|
||||
|
||||
Reference in New Issue
Block a user