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Tom Heaton
2024-06-17 15:22:26 +01:00
parent f126809572
commit 414eeb3557
3 changed files with 149 additions and 51 deletions
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56
src/components/HeroSection/index.jsx
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@@ -40,12 +40,27 @@ export default function HeroSection() {
<HeroNewsTitle>RECENT NEWS:</HeroNewsTitle> <HeroNewsTitle>RECENT NEWS:</HeroNewsTitle>
<HeroNewsItem> <HeroNewsItem>
<HeroNewsItemDate>05/22/24</HeroNewsItemDate> <HeroNewsItemDate>05/22/24</HeroNewsItemDate>
<HeroNewsItemContent> New <UDLLink href="https://www.borealisai.com/research-blogs/neural-tangent-kernel-applications/"> blog </UDLLink> about the applications of the neural tangent kernel.</HeroNewsItemContent> <HeroNewsItemContent>
{" "}
New{" "}
<UDLLink href="https://www.borealisai.com/research-blogs/neural-tangent-kernel-applications/">
{" "}
blog{" "}
</UDLLink>{" "}
about the applications of the neural tangent kernel.
</HeroNewsItemContent>
</HeroNewsItem> </HeroNewsItem>
<HeroNewsItem> <HeroNewsItem>
<HeroNewsItemDate>05/10/24</HeroNewsItemDate> <HeroNewsItemDate>05/10/24</HeroNewsItemDate>
<HeroNewsItemContent> Positive <UDLLink href="https://github.com/udlbook/udlbook/blob/main/public/NMI_Review.pdf">review</UDLLink> in Nature Machine Intelligence.</HeroNewsItemContent> <HeroNewsItemContent>
{" "}
Positive{" "}
<UDLLink href="https://github.com/udlbook/udlbook/blob/main/public/NMI_Review.pdf">
review
</UDLLink>{" "}
in Nature Machine Intelligence.
</HeroNewsItemContent>
</HeroNewsItem> </HeroNewsItem>
{/* <HeroNewsItem> {/* <HeroNewsItem>
@@ -68,7 +83,13 @@ export default function HeroSection() {
<HeroNewsItem> <HeroNewsItem>
<HeroNewsItemDate>02/21/24</HeroNewsItemDate> <HeroNewsItemDate>02/21/24</HeroNewsItemDate>
<HeroNewsItemContent>New blog about the <UDLLink href="https://www.borealisai.com/research-blogs/the-neural-tangent-kernel/">Neural Tangent Kernel</UDLLink>.</HeroNewsItemContent> <HeroNewsItemContent>
New blog about the{" "}
<UDLLink href="https://www.borealisai.com/research-blogs/the-neural-tangent-kernel/">
Neural Tangent Kernel
</UDLLink>
.
</HeroNewsItemContent>
</HeroNewsItem> </HeroNewsItem>
{/* <HeroNewsItem> {/* <HeroNewsItem>
<HeroNewsItemDate>02/15/24</HeroNewsItemDate> <HeroNewsItemDate>02/15/24</HeroNewsItemDate>
@@ -117,7 +138,13 @@ export default function HeroSection() {
</HeroNewsItem> </HeroNewsItem>
<HeroNewsItem> <HeroNewsItem>
<HeroNewsItemDate>12/06/23</HeroNewsItemDate> <HeroNewsItemDate>12/06/23</HeroNewsItemDate>
<HeroNewsItemContent> <UDLLink href="https://www.borealisai.com/news/understanding-deep-learning/">Interview</UDLLink> with Borealis AI.</HeroNewsItemContent> <HeroNewsItemContent>
{" "}
<UDLLink href="https://www.borealisai.com/news/understanding-deep-learning/">
Interview
</UDLLink>{" "}
with Borealis AI.
</HeroNewsItemContent>
</HeroNewsItem> </HeroNewsItem>
<HeroNewsItem> <HeroNewsItem>
<HeroNewsItemDate>12/05/23</HeroNewsItemDate> <HeroNewsItemDate>12/05/23</HeroNewsItemDate>
@@ -152,11 +179,22 @@ export default function HeroSection() {
<HeroImgWrap> <HeroImgWrap>
<Img src={img} alt="book cover" /> <Img src={img} alt="book cover" />
</HeroImgWrap> </HeroImgWrap>
<HeroLink href="https://github.com/udlbook/udlbook/releases/download/v4.0.1/UnderstandingDeepLearning_05_27_24_C.pdf">Download full pdf (27 May 2024)</HeroLink> <HeroLink href="https://github.com/udlbook/udlbook/releases/download/v4.0.1/UnderstandingDeepLearning_05_27_24_C.pdf">
<HeroDownloadsImg src="https://img.shields.io/github/downloads/udlbook/udlbook/total" alt="download stats shield"/> Download full pdf (27 May 2024)
<HeroLink href="https://mitpress.mit.edu/9780262048644/understanding-deep-learning/">Buy the book</HeroLink> </HeroLink>
<HeroLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Answer_Booklet_Students.pdf">Answers to selected questions</HeroLink> <HeroDownloadsImg
<HeroLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Errata.pdf">Errata</HeroLink> src="https://img.shields.io/github/downloads/udlbook/udlbook/total"
alt="download stats shield"
/>
<HeroLink href="https://mitpress.mit.edu/9780262048644/understanding-deep-learning/">
Buy the book
</HeroLink>
<HeroLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Answer_Booklet_Students.pdf">
Answers to selected questions
</HeroLink>
<HeroLink href="https://github.com/udlbook/udlbook/raw/main/UDL_Errata.pdf">
Errata
</HeroLink>
</HeroColumn2> </HeroColumn2>
</HeroRow> </HeroRow>
</HeroContent> </HeroContent>

38
src/components/Media/index.jsx
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@@ -76,8 +76,39 @@ export default function MediaSection() {
<TopLine>Reviews</TopLine> <TopLine>Reviews</TopLine>
<MediaContent> <MediaContent>
<ul> <ul>
<li> Nature Machine Intelligence <MediaLink href="https://github.com/udlbook/udlbook/blob/main/public/NMI_Review.pdf"> review </MediaLink> by <MediaLink href="https://wang-axis.github.io/">Ge Wang</MediaLink></li> <li>
{" "}
Nature Machine Intelligence{" "}
<MediaLink href="https://github.com/udlbook/udlbook/blob/main/public/NMI_Review.pdf">
{" "}
review{" "}
</MediaLink>{" "}
by{" "}
<MediaLink href="https://wang-axis.github.io/">
Ge Wang
</MediaLink>
</li>
<li>
{" "}
Amazon{" "}
<MediaLink href="https://www.amazon.com/Understanding-Deep-Learning-Simon-Prince-ebook/product-reviews/B0BXKH8XY6/">
reviews
</MediaLink>
</li>
<li>
Goodreads{" "}
<MediaLink href="https://www.goodreads.com/book/show/123239819-understanding-deep-learning?">
reviews{" "}
</MediaLink>
</li>
<li>
Book{" "}
<MediaLink href="https://medium.com/@vishalvignesh/udl-book-review-the-new-deep-learning-textbook-youll-want-to-finish-69e1557b018d">
review
</MediaLink>{" "}
by Vishal V.
</li>
<li> <li>
{" "} {" "}
Amazon{" "} Amazon{" "}
@@ -98,9 +129,6 @@ export default function MediaSection() {
</MediaLink>{" "} </MediaLink>{" "}
by Vishal V. by Vishal V.
</li> </li>
<li> Amazon <MediaLink href="https://www.amazon.com/Understanding-Deep-Learning-Simon-Prince-ebook/product-reviews/B0BXKH8XY6/">reviews</MediaLink></li>
<li>Goodreads <MediaLink href="https://www.goodreads.com/book/show/123239819-understanding-deep-learning?">reviews </MediaLink></li>
<li>Book <MediaLink href="https://medium.com/@vishalvignesh/udl-book-review-the-new-deep-learning-textbook-youll-want-to-finish-69e1557b018d">review</MediaLink> by Vishal V.</li>
</ul> </ul>
</MediaContent> </MediaContent>
</Column1> </Column1>

106
src/components/More/index.jsx
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@@ -408,7 +408,7 @@ export default function MoreSection() {
</MoreInnerP> </MoreInnerP>
</li> </li>
</MoreOuterList> </MoreOuterList>
{/* <li> {/* <li>
<MoreLink <MoreLink
href="https://www.borealisai.com/en/blog/tutorial-11-sat-solvers-iii-factor-graphs-and-smt-solvers/" href="https://www.borealisai.com/en/blog/tutorial-11-sat-solvers-iii-factor-graphs-and-smt-solvers/"
target="_blank" target="_blank"
@@ -482,13 +482,19 @@ export default function MoreSection() {
Euclidean, similarity, affine, projective Euclidean, similarity, affine, projective
transformations{" "} transformations{" "}
</li> */} </li> */}
<TopLine>Temporal models</TopLine> <TopLine>Temporal models</TopLine>
<MoreOuterList> <MoreOuterList>
<li> <li>
<MoreLink href="https://drive.google.com/file/d/1rrzGNyZDjXQ3_9ZqCGDmRMM3GYtHSBvj/view?usp=sharing" target="_blank" rel="noreferrer">Temporal models</MoreLink> <MoreLink
href="https://drive.google.com/file/d/1rrzGNyZDjXQ3_9ZqCGDmRMM3GYtHSBvj/view?usp=sharing"
target="_blank"
rel="noreferrer"
>
Temporal models
</MoreLink>
<MoreInnerP> <MoreInnerP>
<MoreInnerList> <MoreInnerList>
<li> Kalman filter </li> <li> Kalman filter </li>
<li> Smoothing </li> <li> Smoothing </li>
<li> Extended Kalman filter </li> <li> Extended Kalman filter </li>
@@ -500,37 +506,59 @@ export default function MoreSection() {
</MoreOuterList> </MoreOuterList>
<TopLine>Computer vision</TopLine> <TopLine>Computer vision</TopLine>
<MoreOuterList> <MoreOuterList>
<li>
<MoreLink href="https://drive.google.com/file/d/1r3V1GC5grhPF2pD91izuE0hTrTUEpQ9I/view?usp=sharing" target="_blank" rel="noreferrer">Image Processing</MoreLink>
<MoreInnerP>
<MoreInnerList>
<li> Whitening </li>
<li> Histogram equalization </li>
<li> Filtering </li>
<li> Edges and corners </li>
<li> Dimensionality reduction </li>
</MoreInnerList>
</MoreInnerP>
</li>
<li>
<MoreLink href="https://drive.google.com/file/d/1dbMBE13MWcd84dEGjYeWsC6eXouoC0xn/view?usp=sharing" target="_blank" rel="noreferrer">Pinhole camera</MoreLink>
<MoreInnerP>
<MoreInnerList>
<li> Pinhole camera model </li>
<li> Radial distortion </li>
<li> Homogeneous coordinates </li>
<li> Learning extrinsic parameters </li>
<li> Learning intrinsic parameters </li>
<li> Inferring three-dimensional world points </li>
</MoreInnerList>
</MoreInnerP>
</li>
<li> <li>
<MoreLink href="https://drive.google.com/file/d/1UArrb1ovqvZHbv90MufkW372r__ZZACQ/view?usp=sharing" target="_blank" rel="noreferrer">Geometric transformations</MoreLink> <MoreLink
href="https://drive.google.com/file/d/1r3V1GC5grhPF2pD91izuE0hTrTUEpQ9I/view?usp=sharing"
target="_blank"
rel="noreferrer"
>
Image Processing
</MoreLink>
<MoreInnerP> <MoreInnerP>
<MoreInnerList> <MoreInnerList>
<li> Euclidean, similarity, affine, projective transformations </li> <li> Whitening </li>
<li> Histogram equalization </li>
<li> Filtering </li>
<li> Edges and corners </li>
<li> Dimensionality reduction </li>
</MoreInnerList>
</MoreInnerP>
</li>
<li>
<MoreLink
href="https://drive.google.com/file/d/1dbMBE13MWcd84dEGjYeWsC6eXouoC0xn/view?usp=sharing"
target="_blank"
rel="noreferrer"
>
Pinhole camera
</MoreLink>
<MoreInnerP>
<MoreInnerList>
<li> Pinhole camera model </li>
<li> Radial distortion </li>
<li> Homogeneous coordinates </li>
<li> Learning extrinsic parameters </li>
<li> Learning intrinsic parameters </li>
<li> Inferring three-dimensional world points </li>
</MoreInnerList>
</MoreInnerP>
</li>
<li>
<MoreLink
href="https://drive.google.com/file/d/1UArrb1ovqvZHbv90MufkW372r__ZZACQ/view?usp=sharing"
target="_blank"
rel="noreferrer"
>
Geometric transformations
</MoreLink>
<MoreInnerP>
<MoreInnerList>
<li>
{" "}
Euclidean, similarity, affine, projective
transformations{" "}
</li>
<li> Fitting transformation models </li> <li> Fitting transformation models </li>
<li> Inference in transformation models </li> <li> Inference in transformation models </li>
<li> Three geometric problems for planes </li> <li> Three geometric problems for planes </li>
@@ -645,9 +673,15 @@ export default function MoreSection() {
<li> Extended Kalman filter </li> <li> Extended Kalman filter </li>
<li> Unscented Kalman filter </li> <li> Unscented Kalman filter </li>
<li> Particle filtering </li>*/} <li> Particle filtering </li>*/}
<MoreLink href="https://www.borealisai.com/research-blogs/neural-tangent-kernel-applications/" target="_blank" rel="noreferrer">NTK applications</MoreLink> <MoreLink
href="https://www.borealisai.com/research-blogs/neural-tangent-kernel-applications/"
target="_blank"
rel="noreferrer"
>
NTK applications
</MoreLink>
<MoreInnerP> <MoreInnerP>
<MoreInnerList> <MoreInnerList>
<li> Trainability </li> <li> Trainability </li>
<li> Convergence bounds </li> <li> Convergence bounds </li>
<li> Evolution of parameters</li> <li> Evolution of parameters</li>
@@ -659,8 +693,6 @@ export default function MoreSection() {
</li> </li>
</MoreOuterList> </MoreOuterList>
<TopLine> Unsupervised learning</TopLine> <TopLine> Unsupervised learning</TopLine>
<MoreOuterList> <MoreOuterList>
<li> <li>