import img from "../../images/instructor.svg"; import { Column1, Column2, Heading, Img, ImgWrap, InstructorsContainer, InstructorsContent, InstructorsLink, InstructorsRow, InstructorsRow2, InstructorsWrapper, Subtitle, TextWrapper, TopLine, } from "./InstructorsElements"; export default function InstructorsSection() { return ( <> Instructors Resources for instructors All the figures in vector and image formats, full slides for first twelve chapters, instructor answer booklet Car Register Register {" "} with MIT Press for answer booklet. Full slides Slides for 20 lecture undergraduate deep learning course:
  1. Introduction{" "} PPTX
  2. Supervised Learning{" "} PPTX
  3. Shallow Neural Networks{" "} PPTX
  4. Deep Neural Networks{" "} PPTX
  5. Loss Functions{" "} PPTX
  6. Fitting Models{" "} PPTX
  7. Computing Gradients{" "} PPTX
  8. Initialization{" "} PPTX
  9. Performance{" "} PPTX
  10. Regularization{" "} PPTX
  11. Convolutional Networks{" "} PPTX
  12. Image Generation{" "} PPTX
  13. Transformers and LLMs{" "} PPTX
Figures
  1. {" "} Introduction:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX{" "}
  2. {" "} Supervised learning:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  3. {" "} Shallow neural networks:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  4. {" "} Deep neural networks:{" "} PDF {" "} /{" "} {" "} SVG / PPTX
  5. {" "} Loss functions:{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
  6. {" "} Training models:{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
  7. {" "} Gradients and initialization:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  8. {" "} Measuring performance:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  9. {" "} Regularization:{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
  10. {" "} Convolutional networks:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  11. {" "} Residual networks:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  12. {" "} Transformers:{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
  13. {" "} Graph neural networks:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  14. {" "} Unsupervised learning:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  15. {" "} GANs:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  16. {" "} Normalizing flows:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  17. {" "} Variational autoencoders:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  18. {" "} Diffusion models:{" "} PDF {" "} /{" "} {" "} SVG {" "} / PPTX
  19. {" "} Deep reinforcement learning:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX{" "}
  20. {" "} Why does deep learning work?:{" "} PDF {" "} /{" "} {" "} SVG {" "} /{" "} PPTX
  21. {" "} Deep learning and ethics:{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
  22. {" "} Appendices -{" "} PDF {" "} /{" "} SVG {" "} /{" "} PPTX
Instructions {" "} for editing equations in figures. ); }