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Tom Heaton
2024-05-25 00:07:44 +01:00
parent af5a719496
commit 89a0532283
33 changed files with 8791 additions and 7983 deletions
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src/components/Instructors/index.jsx Normal file
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import React from 'react'
import { ImgWrap, Img, InstructorsLink, InstructorsContainer, InstructorsContent, InstructorsRow2, InstructorsWrapper, InstructorsRow, Column1, Column2, TextWrapper, TopLine, Heading, Subtitle} from './InstructorsElements'
// export const homeObjOne = {
// id: 'about',
// lightBg: false,
// lightText: true,
// lightTextDesc: true,
// topLine: 'Premium Bank',
// headline: 'Unlimited transactions with zero fees',
// description:
// 'Get access to our exclusive app that allows you to send unlimited transactions without getting charged any fees',
// buttonLabel: 'Get Started',
// imgStart: false,
// img: require('../../images/svg-1.svg').default,
// alt: 'Car',
// dark: true,
// primary: true,
// darkText: false
// };
import img from '../../images/instructor.svg'
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