Curriculum

1. 00 Wlcome

   1 lesson

   1. 02 DL Diploma Details and QA

2. 02 PyTorch Framework

   9 lessons

   1. 01 Deep Learning and Frameworks history
   2. 02 PyTioch Installations
   3. 03 Pytorch intro
   4. 04 Followup2024 - QA
   5. 05 PyTorch Continue
   6. 06 PyTorch Continue challenge
   7. 07 Design Challenge Solution
   8. 08 Followup2024 - QA
   9. 09 Followup2024 - QA

3. 03 CNN

   14 lessons

   1. 10 Comuter Vision Before DNN
   2. 11 Convolutional Operator - pad - stride
   3. 12 Followup2024 - QA
   4. 13 Followup2024 - QA
   5. 14 Concolutional Layer
   6. 15 Convolutional Network 1
   7. 16 Followup2024 - QA
   8. 17 Followup2024 - QA Discussion on model performance
   9. 18 Convolutional Network 2
   10. 19 Misc Topics 1
   11. 20 Followup2024 - QA Discussion on Error Analysis
   12. 21 Misc Topics 2
   13. 22 Followup2024 - QA - note about coming math
   14. 23 Followup2024 - QA - Short Discussion on evolving data - offtopic

4. 04 RNN

   10 lessons

   1. 23 RNN 1
   2. 24 RNN 2
   3. 25 RNN 3
   4. 26 Followup2024 - QA
   5. 27 Followup2024 - QA
   6. 28 RNN 4
   7. 29 LSTM 1
   8. 30 LSTM 2
   9. 31 Followup2024 - QA
   10. 32 Followup2024 - QA - Input Validation Discussion

5. 05 Project - CV

   8 lessons

   1. 33 Deep Learning Project - CVPR 16
   2. 34 Followup2024
   3. 35 Followup2024
   4. 36 Followup2024
   5. 37 Followup2024
   6. 38 Followup2024 - ECCV18 paper - discussion on improvements and analysis growth
   7. 39 Followup2024
   8. 40 Followup2024 - high performance

6. 06 More on DNN Basics

   7 lessons

   1. 41 dropout
   2. 42 batchnorm 1
   3. 43 batchnorm 2 - discussion on 2 kpi sets
   4. 44 batchnorm 3
   5. 45 Depthwise-Seperable conv - updated
   6. 46 Transposed Conv 1
   7. 47 Transposed Conv 2

7. 07 GAN AI in CV - Part 1

   11 lessons

   1. 53 Relationships and Similarity
   2. 54 Fixed and Dynamic Self-Attention
   3. 55 Self-Attention Softmax Issue
   4. 56 Multi-head Self-Attention
   5. 57 Cross Attention - Positional Encoding WHAT
   6. 58 Positional Encoding - HOW
   7. 59 Positional Encoding - Analysis - Discussion 3 vs 1 channel concern
   8. 60 Transformer Architecture
   9. 61 Transformer impl 1
   10. 62A Transformer impl PAD token - resume projects
   11. 62B non-DL discussion

8. 08 Transformer for NLP

   11 lessons

   1. 53 Relationships and Similarity
   2. 54 Fixed and Dynamic Self-Attention
   3. 55 Self-Attention Softmax Issue
   4. 56 Multi-head Self-Attention
   5. 57 Cross Attention - Positional Encoding WHAT
   6. 58 Positional Encoding - HOW
   7. 59 Positional Encoding - Analysis - Discussion 3 vs 1 channel concern
   8. 60 Transformer Architecture
   9. 61 Transformer impl 1
   10. 62A Transformer impl PAD token - resume projects
   11. 62B non-DL discussion

9. 09 2D vision problems

   34 lessons

   1. 63 Image Classification 1
   2. 64 Image Classification 2
   3. 65 Semantic Segmentation 1 - Intro - Philosophy of science
   4. 66 Semantic Segmentation before DL 2
   5. 67 Semantic Segmentation before DL 3
   6. 68 Semantic Segmentation before DL 4
   7. 69 Side Talks - Deployment Issues - Problem Formulation
   8. 70 Semantic Segmentation 1
   9. 71 Semantic Segmentation 2
   10. 72 Semantic Segmentation Project
   11. 73 Keypoint Detection 1 - intro
   12. 74 Keypoint Detection 2 - Impl - Embedded env gaps
   13. 75 Keypoint Detection 3 - Joints Visibility - Pipeline KPI - Samples Drop Bug
   14. 76 Keypoint Detection 4 - Jittering Problem - resize bug
   15. 77 Keypoint Detection 5 - Bottom Up processing - worker-node
   16. 78 Keypoint Detection 6 - Self-Supervised Code - metadata and data leakage DFS CC
   17. 79 Keypoint Detection 7 - Openpose 1
   18. 80 Keypoint Detection 7 - Openpose 2
   19. 81 Keypoint Detection 8 - notes for bodypose
   20. 82 Object Detection intro - training notes
   21. 83 Object Detection - Before Deep Learning - Augmentation Notes
   22. 84 Object Detection - Simple Setup
   23. 85 Object Detection - Fast RCNN 1 - Thresholds Optimization
   24. 86 Object Detection - Fast RCNN - Profilers and Callbacks
   25. 87 Object Detection - Hard Mining
   26. 88 Object Detection - Faster RCNN 1
   27. 89 Object Detection - Faster RCNN 2
   28. 90 Object Detection - Faster RCNN 3
   29. 91 Object Detection - YoloV1
   30. 92 Object Detection - YoloV2
   31. 93 Object Detection - CenterNet
   32. 94 Notes on Error Analysis - Notes on Leadership-misc
   33. 95 Object Detection - FPN
   34. 96 Instance Segmentation - ROI Align - Saliency Map

10. 10 Transformers in CV

    1 lesson

    1. 97 - VIT Transformer

11. Slides

    1 lesson

    1. Slides