| Name | Download | Download Size |
|---|---|---|
| Lecture Note | Download as zip file | 348M |
| Module Name | Download |
|---|---|
| noc20_cs88_assignment_Week_0 | noc20_cs88_assignment_Week_0 |
| noc20_cs88_assignment_Week_1 | noc20_cs88_assignment_Week_1 |
| noc20_cs88_assignment_Week_10 | noc20_cs88_assignment_Week_10 |
| noc20_cs88_assignment_Week_11 | noc20_cs88_assignment_Week_11 |
| noc20_cs88_assignment_Week_12 | noc20_cs88_assignment_Week_12 |
| noc20_cs88_assignment_Week_2 | noc20_cs88_assignment_Week_2 |
| noc20_cs88_assignment_Week_3 | noc20_cs88_assignment_Week_3 |
| noc20_cs88_assignment_Week_4 | noc20_cs88_assignment_Week_4 |
| noc20_cs88_assignment_Week_5 | noc20_cs88_assignment_Week_5 |
| noc20_cs88_assignment_Week_6 | noc20_cs88_assignment_Week_6 |
| noc20_cs88_assignment_Week_7 | noc20_cs88_assignment_Week_7 |
| noc20_cs88_assignment_Week_8 | noc20_cs88_assignment_Week_8 |
| noc20_cs88_assignment_Week_9 | noc20_cs88_assignment_Week_9 |
| Sl.No | Chapter Name | MP4 Download |
|---|---|---|
| 1 | Course Introduction | Download |
| 2 | History | Download |
| 3 | Image Formation | Download |
| 4 | Image Representation | Download |
| 5 | Linear Filtering | Download |
| 6 | Image in Frequency Domain | Download |
| 7 | Image Sampling | Download |
| 8 | Edge Detection | Download |
| 9 | From Edges to Blobs and Corners | Download |
| 10 | Scale Space, Image Pyramids and Filter Banks | Download |
| 11 | Feature Detectors : SIFT and Variants | Download |
| 12 | Image Segmentation | Download |
| 13 | Other Feature Spaces | Download |
| 14 | Human Visual System | Download |
| 15 | Feature Matching | Download |
| 16 | Hough Transform | Download |
| 17 | From Points to Images: Bag-of-Words and VLAD Representations | Download |
| 18 | Image Descriptor Matching | Download |
| 19 | Pyramid Matching | Download |
| 20 | From Traditional Vision to Deep Learning | Download |
| 21 | Neural Networks: A Review - Part 1 | Download |
| 22 | Neural Networks: A Review - Part 2 | Download |
| 23 | Feedforward Neural Networks and Backpropagation - Part 1 | Download |
| 24 | Feedforward Neural Networks and Backpropagation - Part 2 | Download |
| 25 | Gradient Descent and Variants - Part 1 | Download |
| 26 | Gradient Descent and Variants - Part 2 | Download |
| 27 | Regularization in Neural Networks - Part 1 | Download |
| 28 | Regularization in Neural Networks - Part 2 | Download |
| 29 | Improving Training of Neural Networks - Part 1 | Download |
| 30 | Improving Training of Neural Networks - Part 2 | Download |
| 31 | Convolutional Neural Networks: An Introduction - Part 01 | Download |
| 32 | Convolutional Neural Networks: An Introduction - Part 02 | Download |
| 33 | Backpropagation in CNNs | Download |
| 34 | Evolution of CNN Architectures for Image Classification-Part 01 | Download |
| 35 | Evolution of CNN Architectures for Image Classification-Part 02 | Download |
| 36 | Recent CNN Architectures | Download |
| 37 | Finetuning in CNNs | Download |
| 38 | Explaining CNNs: Visualization Methods | Download |
| 39 | Explaining CNNs: Early Methods | Download |
| 40 | Explaining CNNs: Class Attribution Map Methods | Download |
| 41 | Explaining CNNs: Recent Methods-Part 01 | Download |
| 42 | Explaining CNNs: Recent Methods-part 02 | Download |
| 43 | Going Beyond Explaining CNNs | Download |
| 44 | CNNs for Object Detection-I-PART 01 | Download |
| 45 | CNNs for Object Detection-I-PART 02 | Download |
| 46 | CNNs for Object Detection-II | Download |
| 47 | CNNs for Segmentation | Download |
| 48 | CNNs for Human Understanding: Faces-PART 01 | Download |
| 49 | CNNs for Human Understanding: Faces-PART 02 | Download |
| 50 | CNNs for Human Understanding: Human Pose and Crowd | Download |
| 51 | CNNs for Other Image Tasks | Download |
| 52 | Recurrent Neural Networks: Introduction | Download |
| 53 | Backpropagation in RNNs | Download |
| 54 | LSTMs and GRUs | Download |
| 55 | Video Understanding using CNNs and RNNs | Download |
| 56 | Attention in Vision Models: An Introduction | Download |
| 57 | Vision and Language: Image Captioning | Download |
| 58 | Beyond Captioning: Visual QA, Visual Dialog | Download |
| 59 | Other Attention Models | Download |
| 60 | Self-Attention and Transformers | Download |
| 61 | Deep Generative Models: An Introduction | Download |
| 62 | Generative Adversarial Networks-Part 01 | Download |
| 63 | Generative Adversarial Networks-Part 02 | Download |
| 64 | Variational Autoencoders | Download |
| 65 | Combining VAEs and GANs | Download |
| 66 | Beyond VAEs and GANs: Other Deep Generative Models-Part - 01 | Download |
| 67 | Beyond VAEs and GANs: Other Deep Generative Models-Part - 02 | Download |
| 68 | GAN Improvements | Download |
| 69 | Deep Generative Models across Multiple Domains | Download |
| 70 | VAEs and DIsentanglement | Download |
| 71 | Deep Generative Models: Image Applications | Download |
| 72 | Deep Generative Models: Video Applications | Download |
| 73 | Few-shot and Zero-shot Learning - Part 01 | Download |
| 74 | Few-shot and Zero-shot Learning - Part 02 | Download |
| 75 | Self-Supervised Learning | Download |
| 76 | Adversarial Robustness | Download |
| 77 | Pruning and Model Compression | Download |
| 78 | Neural Architecture Search | Download |
| 79 | Course Conclusion | Download |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Course Introduction | Download Verified |
| 2 | History | Download Verified |
| 3 | Image Formation | Download Verified |
| 4 | Image Representation | Download Verified |
| 5 | Linear Filtering | Download Verified |
| 6 | Image in Frequency Domain | Download Verified |
| 7 | Image Sampling | Download Verified |
| 8 | Edge Detection | Download Verified |
| 9 | From Edges to Blobs and Corners | Download Verified |
| 10 | Scale Space, Image Pyramids and Filter Banks | Download Verified |
| 11 | Feature Detectors : SIFT and Variants | Download Verified |
| 12 | Image Segmentation | Download Verified |
| 13 | Other Feature Spaces | Download Verified |
| 14 | Human Visual System | Download Verified |
| 15 | Feature Matching | Download Verified |
| 16 | Hough Transform | Download Verified |
| 17 | From Points to Images: Bag-of-Words and VLAD Representations | Download Verified |
| 18 | Image Descriptor Matching | Download Verified |
| 19 | Pyramid Matching | Download Verified |
| 20 | From Traditional Vision to Deep Learning | Download Verified |
| 21 | Neural Networks: A Review - Part 1 | Download Verified |
| 22 | Neural Networks: A Review - Part 2 | Download Verified |
| 23 | Feedforward Neural Networks and Backpropagation - Part 1 | Download Verified |
| 24 | Feedforward Neural Networks and Backpropagation - Part 2 | Download Verified |
| 25 | Gradient Descent and Variants - Part 1 | Download Verified |
| 26 | Gradient Descent and Variants - Part 2 | Download Verified |
| 27 | Regularization in Neural Networks - Part 1 | Download Verified |
| 28 | Regularization in Neural Networks - Part 2 | Download Verified |
| 29 | Improving Training of Neural Networks - Part 1 | Download Verified |
| 30 | Improving Training of Neural Networks - Part 2 | Download Verified |
| 31 | Convolutional Neural Networks: An Introduction - Part 01 | Download Verified |
| 32 | Convolutional Neural Networks: An Introduction - Part 02 | Download Verified |
| 33 | Backpropagation in CNNs | Download Verified |
| 34 | Evolution of CNN Architectures for Image Classification-Part 01 | Download Verified |
| 35 | Evolution of CNN Architectures for Image Classification-Part 02 | Download Verified |
| 36 | Recent CNN Architectures | Download Verified |
| 37 | Finetuning in CNNs | Download Verified |
| 38 | Explaining CNNs: Visualization Methods | Download Verified |
| 39 | Explaining CNNs: Early Methods | Download Verified |
| 40 | Explaining CNNs: Class Attribution Map Methods | Download Verified |
| 41 | Explaining CNNs: Recent Methods-Part 01 | Download Verified |
| 42 | Explaining CNNs: Recent Methods-part 02 | PDF unavailable |
| 43 | Going Beyond Explaining CNNs | Download Verified |
| 44 | CNNs for Object Detection-I-PART 01 | Download Verified |
| 45 | CNNs for Object Detection-I-PART 02 | Download Verified |
| 46 | CNNs for Object Detection-II | Download Verified |
| 47 | CNNs for Segmentation | PDF unavailable |
| 48 | CNNs for Human Understanding: Faces-PART 01 | Download Verified |
| 49 | CNNs for Human Understanding: Faces-PART 02 | PDF unavailable |
| 50 | CNNs for Human Understanding: Human Pose and Crowd | Download Verified |
| 51 | CNNs for Other Image Tasks | Download Verified |
| 52 | Recurrent Neural Networks: Introduction | Download Verified |
| 53 | Backpropagation in RNNs | Download Verified |
| 54 | LSTMs and GRUs | PDF unavailable |
| 55 | Video Understanding using CNNs and RNNs | PDF unavailable |
| 56 | Attention in Vision Models: An Introduction | Download Verified |
| 57 | Vision and Language: Image Captioning | Download Verified |
| 58 | Beyond Captioning: Visual QA, Visual Dialog | Download Verified |
| 59 | Other Attention Models | Download Verified |
| 60 | Self-Attention and Transformers | Download Verified |
| 61 | Deep Generative Models: An Introduction | Download Verified |
| 62 | Generative Adversarial Networks-Part 01 | Download Verified |
| 63 | Generative Adversarial Networks-Part 02 | Download Verified |
| 64 | Variational Autoencoders | Download Verified |
| 65 | Combining VAEs and GANs | Download Verified |
| 66 | Beyond VAEs and GANs: Other Deep Generative Models-Part - 01 | Download Verified |
| 67 | Beyond VAEs and GANs: Other Deep Generative Models-Part - 02 | Download Verified |
| 68 | GAN Improvements | Download Verified |
| 69 | Deep Generative Models across Multiple Domains | Download Verified |
| 70 | VAEs and DIsentanglement | Download Verified |
| 71 | Deep Generative Models: Image Applications | Download Verified |
| 72 | Deep Generative Models: Video Applications | Download Verified |
| 73 | Few-shot and Zero-shot Learning - Part 01 | Download Verified |
| 74 | Few-shot and Zero-shot Learning - Part 02 | Download Verified |
| 75 | Self-Supervised Learning | Download Verified |
| 76 | Adversarial Robustness | Download Verified |
| 77 | Pruning and Model Compression | Download Verified |
| 78 | Neural Architecture Search | Download Verified |
| 79 | Course Conclusion | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Download |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |