bib file, eqns
This commit is contained in:
Simon Prince
@@ -33,6 +33,94 @@ const citation = `
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`;
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const news = [
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{
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date: "01/23/25",
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content: (
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<HeroNewsItemContent>
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Added{" "}
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<UDLLink href="https://github.com/udlbook/udlbook/raw/main/understanding-deep-learning-final.bib">
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bibfile
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</UDLLink>{" "} for book an
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<UDLLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Equations.tex">
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LaTeX
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</UDLLink>{" "}
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for equations
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</HeroNewsItemContent>
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),
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},
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{
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date: "12/17/24",
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content: (
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<HeroNewsItemContent>
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<UDLLink href="https://www.youtube.com/playlist?list=PLRdABJkXXytCz19PsZ1PCQBKoZGV069k3">
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Video lectures
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</UDLLink>{" "}
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for chapters 1-12 from Tamer Elsayed of Qatar University.
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</HeroNewsItemContent>
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),
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},
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{
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date: "12/05/24",
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content: (
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<HeroNewsItemContent>
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New{" "}
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<UDLLink href="https://rbcborealis.com/research-blogs/neural-network-gaussian-processes/">
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blog
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</UDLLink>{" "}
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on Neural network Gaussian processes
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</HeroNewsItemContent>
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),
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},
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{
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date: "11/14/24",
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content: (
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<HeroNewsItemContent>
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New{" "}
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<UDLLink href=" https://rbcborealis.com/research-blogs/bayesian-neural-networks/">
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blog
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</UDLLink>{" "}
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on Bayesian Neural Networks
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</HeroNewsItemContent>
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),
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},
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{
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date: "08/13/24",
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content: (
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<HeroNewsItemContent>
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New{" "}
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<UDLLink href="https://www.borealisai.com/research-blogs/bayesian-machine-learning-function-space/">
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blog
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</UDLLink>{" "}
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on Bayesian machine learning (function perspective)
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</HeroNewsItemContent>
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),
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},
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{
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date: "08/05/24",
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content: (
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<HeroNewsItemContent>
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Added{" "}
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<UDLLink href="https://udlbook.github.io/udlfigures/">
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interactive figures
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</UDLLink>{" "}
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to explore 1D linear regression, shallow and deep networks, Gabor model.
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</HeroNewsItemContent>
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),
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},
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{
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date: "07/30/24",
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content: (
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<HeroNewsItemContent>
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New{" "}
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<UDLLink href="https://www.borealisai.com/research-blogs/bayesian-machine-learning-parameter-space/">
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blog
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</UDLLink>{" "}
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on Bayesian machine learning (parameter perspective)
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</HeroNewsItemContent>
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),
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},
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{
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date: "05/22/24",
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content: (
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@@ -184,8 +272,8 @@ export default function HeroSection() {
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<HeroImgWrap>
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<Img src={img} alt="Book Cover" />
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</HeroImgWrap>
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<HeroLink href="https://github.com/udlbook/udlbook/releases/download/v4.0.1/UnderstandingDeepLearning_05_27_24_C.pdf">
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Download full PDF (27 May 2024)
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<HeroLink href="https://github.com/udlbook/udlbook/releases/download/v5.00/UnderstandingDeepLearning_11_21_24_C.pdf">
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Download full PDF (21 November 2024)
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</HeroLink>
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<br />
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<HeroDownloadsImg
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@@ -201,7 +289,7 @@ export default function HeroSection() {
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<HeroLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Errata.pdf">
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Errata
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</HeroLink>
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</HeroColumn2>
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</HeroColumn2> <h1></h1>
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</HeroRow>
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</HeroContent>
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</HeroContainer>
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@@ -280,6 +280,12 @@ export default function InstructorsSection() {
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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>Interactive figures</TopLine>
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<InstructorsLink href="https://udlbook.github.io/udlfigures/">
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Interactive figures </InstructorsLink>{" "}
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to illustrate ideas in class
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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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@@ -296,6 +302,11 @@ export default function InstructorsSection() {
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))}
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</ol>
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</InstructorsContent>
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<TopLine>LaTeX for equations</TopLine>
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A {" "} <InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Equations.tex">
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working Latex file </InstructorsLink>{" "}
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containing all of the equations
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<InstructorsContent></InstructorsContent>
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</Column1>
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<Column2>
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<TopLine>Figures</TopLine>
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@@ -325,6 +336,11 @@ export default function InstructorsSection() {
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</InstructorsLink>{" "}
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for editing equations in figures.
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<InstructorsContent></InstructorsContent>
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<TopLine>LaTeX Bibfile </TopLine>
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The {" "} <InstructorsLink href="https://github.com/udlbook/udlbook/raw/main/understanding-deep-learning-final.bib">
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bibfile </InstructorsLink>{" "}
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containing all of the references
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<InstructorsContent></InstructorsContent>
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</Column2>
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</InstructorsRow2>
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</InstructorsWrapper>
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23
src/components/Media/index.jsx
Normal file → Executable file
23
src/components/Media/index.jsx
Normal file → Executable file
@@ -120,23 +120,18 @@ export default function MediaSection() {
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by Vishal V.
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</li>
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<li>
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Amazon{" "}
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<MediaLink href="https://www.amazon.com/Understanding-Deep-Learning-Simon-Prince-ebook/product-reviews/B0BXKH8XY6/">
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reviews
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</MediaLink>
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</li>
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<li>
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Goodreads{" "}
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<MediaLink href="https://www.goodreads.com/book/show/123239819-understanding-deep-learning?">
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reviews{" "}
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</MediaLink>
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Book{" "}
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<MediaLink href="https://www.linkedin.com/pulse/review-understanding-deep-learning-prof-simon-prince-chandrasekharan-6egec/">
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review
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</MediaLink>{" "}
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by Nidhin Chandrasekharan
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</li>
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<li>
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Book{" "}
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<MediaLink href="https://medium.com/@vishalvignesh/udl-book-review-the-new-deep-learning-textbook-youll-want-to-finish-69e1557b018d">
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<MediaLink href="https://www.justinmath.com/the-best-neural-nets-textbook/">
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review
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</MediaLink>{" "}
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by Vishal V.
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by Justin Skycak
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</li>
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</ul>
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</MediaContent>
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@@ -155,6 +150,10 @@ export default function MediaSection() {
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))}
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</ul>
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</MediaContent>
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<TopLine>Video lectures</TopLine>
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<MediaLink href="https://www.youtube.com/playlist?list=PLRdABJkXXytCz19PsZ1PCQBKoZGV069k3">
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Video lectures
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</MediaLink>{" "} for chapter 1-12 from Tamer Elsayed
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</Column2>
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</MediaRow2>
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</MediaWrapper>
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49
src/components/More/index.jsx
Normal file → Executable file
49
src/components/More/index.jsx
Normal file → Executable file
@@ -376,6 +376,51 @@ const aiTheory = [
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"NTK and generalizability",
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],
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},
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{
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text: "Bayesian ML I",
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link: "https://www.borealisai.com/research-blogs/bayesian-machine-learning-parameter-space/",
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details: [
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"Maximum likelihood",
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"Maximum a posteriori",
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"The Bayesian approach",
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"Example: 1D linear regression",
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"Practical concerns",
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],
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},
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{
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text: "Bayesian ML II",
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link: "https://www.borealisai.com/research-blogs/bayesian-machine-learning-function-space/",
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details: [
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"Function space",
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"Gaussian processes",
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"Inference",
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"Non-linear regression",
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"Kernels and the kernel trick",
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],
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},
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{
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text: "Bayesian neural networks",
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link: "https://rbcborealis.com/research-blogs/bayesian-neural-networks/",
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details: [
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"Sampling vs. variational approximation",
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"MCMC methods",
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"SWAG and MultiSWAG",
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"Bayes by backprop",
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"Monte Carlo dropout",
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],
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},
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{
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text: "Neural network Gaussian processes",
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link: "https://rbcborealis.com/research-blogs/neural-network-gaussian-processes/",
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details: [
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"Shallow networks as GPs",
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"Neural network Gaussian processes",
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"NNGP Kernel",
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"Kernel regression",
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"Network stability",
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],
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},
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];
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const unsupervisedLearning = [
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@@ -689,7 +734,7 @@ export default function MoreSection() {
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</MoreRow>
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<MoreRow2>
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<Column1>
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<TopLine>Book</TopLine>
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<TopLine>Computer vision book</TopLine>
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<MoreOuterList>
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{book.map((item, index) => (
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<li key={index}>
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@@ -817,7 +862,7 @@ export default function MoreSection() {
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</Column1>
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<Column2>
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<TopLine>AI Theory</TopLine>
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<TopLine>ML Theory</TopLine>
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<MoreOuterList>
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{aiTheory.map((item, index) => (
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<li key={index}>
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