Modules / Lectures
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Lecture NoteDownload as zip file348M
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Sl.No Chapter Name MP4 Download
1Course IntroductionDownload
2HistoryDownload
3Image FormationDownload
4Image RepresentationDownload
5Linear FilteringDownload
6Image in Frequency DomainDownload
7Image SamplingDownload
8Edge DetectionDownload
9From Edges to Blobs and CornersDownload
10Scale Space, Image Pyramids and Filter BanksDownload
11Feature Detectors : SIFT and VariantsDownload
12Image SegmentationDownload
13Other Feature SpacesDownload
14Human Visual SystemDownload
15Feature MatchingDownload
16Hough TransformDownload
17From Points to Images: Bag-of-Words and VLAD RepresentationsDownload
18Image Descriptor MatchingDownload
19Pyramid MatchingDownload
20From Traditional Vision to Deep LearningDownload
21Neural Networks: A Review - Part 1Download
22Neural Networks: A Review - Part 2Download
23Feedforward Neural Networks and Backpropagation - Part 1Download
24Feedforward Neural Networks and Backpropagation - Part 2Download
25Gradient Descent and Variants - Part 1Download
26Gradient Descent and Variants - Part 2Download
27Regularization in Neural Networks - Part 1Download
28Regularization in Neural Networks - Part 2Download
29Improving Training of Neural Networks - Part 1Download
30Improving Training of Neural Networks - Part 2Download
31Convolutional Neural Networks: An Introduction - Part 01Download
32Convolutional Neural Networks: An Introduction - Part 02Download
33Backpropagation in CNNsDownload
34Evolution of CNN Architectures for Image Classification-Part 01Download
35Evolution of CNN Architectures for Image Classification-Part 02Download
36Recent CNN ArchitecturesDownload
37Finetuning in CNNsDownload
38Explaining CNNs: Visualization MethodsDownload
39Explaining CNNs: Early MethodsDownload
40Explaining CNNs: Class Attribution Map MethodsDownload
41Explaining CNNs: Recent Methods-Part 01Download
42Explaining CNNs: Recent Methods-part 02Download
43Going Beyond Explaining CNNsDownload
44CNNs for Object Detection-I-PART 01Download
45CNNs for Object Detection-I-PART 02Download
46CNNs for Object Detection-IIDownload
47CNNs for SegmentationDownload
48CNNs for Human Understanding: Faces-PART 01Download
49CNNs for Human Understanding: Faces-PART 02Download
50CNNs for Human Understanding: Human Pose and CrowdDownload
51CNNs for Other Image TasksDownload
52Recurrent Neural Networks: IntroductionDownload
53Backpropagation in RNNsDownload
54LSTMs and GRUsDownload
55Video Understanding using CNNs and RNNsDownload
56Attention in Vision Models: An IntroductionDownload
57Vision and Language: Image CaptioningDownload
58Beyond Captioning: Visual QA, Visual DialogDownload
59Other Attention Models Download
60Self-Attention and TransformersDownload
61Deep Generative Models: An IntroductionDownload
62Generative Adversarial Networks-Part 01Download
63Generative Adversarial Networks-Part 02Download
64Variational AutoencodersDownload
65Combining VAEs and GANsDownload
66Beyond VAEs and GANs: Other Deep Generative Models-Part - 01Download
67Beyond VAEs and GANs: Other Deep Generative Models-Part - 02Download
68GAN ImprovementsDownload
69Deep Generative Models across Multiple DomainsDownload
70VAEs and DIsentanglementDownload
71Deep Generative Models: Image ApplicationsDownload
72Deep Generative Models: Video ApplicationsDownload
73Few-shot and Zero-shot Learning - Part 01Download
74Few-shot and Zero-shot Learning - Part 02Download
75Self-Supervised LearningDownload
76Adversarial RobustnessDownload
77Pruning and Model CompressionDownload
78Neural Architecture SearchDownload
79Course ConclusionDownload

Sl.No Chapter Name English
1Course IntroductionDownload
Verified
2HistoryDownload
Verified
3Image FormationDownload
Verified
4Image RepresentationDownload
Verified
5Linear FilteringDownload
Verified
6Image in Frequency DomainDownload
Verified
7Image SamplingDownload
Verified
8Edge DetectionDownload
Verified
9From Edges to Blobs and CornersPDF unavailable
10Scale Space, Image Pyramids and Filter BanksDownload
Verified
11Feature Detectors : SIFT and VariantsDownload
Verified
12Image SegmentationPDF unavailable
13Other Feature SpacesDownload
Verified
14Human Visual SystemDownload
Verified
15Feature MatchingPDF unavailable
16Hough TransformDownload
Verified
17From Points to Images: Bag-of-Words and VLAD RepresentationsPDF unavailable
18Image Descriptor MatchingPDF unavailable
19Pyramid MatchingDownload
Verified
20From Traditional Vision to Deep LearningPDF unavailable
21Neural Networks: A Review - Part 1PDF unavailable
22Neural Networks: A Review - Part 2Download
Verified
23Feedforward Neural Networks and Backpropagation - Part 1PDF unavailable
24Feedforward Neural Networks and Backpropagation - Part 2PDF unavailable
25Gradient Descent and Variants - Part 1Download
Verified
26Gradient Descent and Variants - Part 2PDF unavailable
27Regularization in Neural Networks - Part 1PDF unavailable
28Regularization in Neural Networks - Part 2Download
Verified
29Improving Training of Neural Networks - Part 1PDF unavailable
30Improving Training of Neural Networks - Part 2PDF unavailable
31Convolutional Neural Networks: An Introduction - Part 01Download
Verified
32Convolutional Neural Networks: An Introduction - Part 02PDF unavailable
33Backpropagation in CNNsPDF unavailable
34Evolution of CNN Architectures for Image Classification-Part 01PDF unavailable
35Evolution of CNN Architectures for Image Classification-Part 02PDF unavailable
36Recent CNN ArchitecturesPDF unavailable
37Finetuning in CNNsPDF unavailable
38Explaining CNNs: Visualization MethodsPDF unavailable
39Explaining CNNs: Early MethodsPDF unavailable
40Explaining CNNs: Class Attribution Map MethodsPDF unavailable
41Explaining CNNs: Recent Methods-Part 01PDF unavailable
42Explaining CNNs: Recent Methods-part 02PDF unavailable
43Going Beyond Explaining CNNsPDF unavailable
44CNNs for Object Detection-I-PART 01PDF unavailable
45CNNs for Object Detection-I-PART 02PDF unavailable
46CNNs for Object Detection-IIPDF unavailable
47CNNs for SegmentationPDF unavailable
48CNNs for Human Understanding: Faces-PART 01PDF unavailable
49CNNs for Human Understanding: Faces-PART 02PDF unavailable
50CNNs for Human Understanding: Human Pose and CrowdPDF unavailable
51CNNs for Other Image TasksPDF unavailable
52Recurrent Neural Networks: IntroductionPDF unavailable
53Backpropagation in RNNsPDF unavailable
54LSTMs and GRUsPDF unavailable
55Video Understanding using CNNs and RNNsPDF unavailable
56Attention in Vision Models: An IntroductionPDF unavailable
57Vision and Language: Image CaptioningPDF unavailable
58Beyond Captioning: Visual QA, Visual DialogPDF unavailable
59Other Attention Models PDF unavailable
60Self-Attention and TransformersPDF unavailable
61Deep Generative Models: An IntroductionPDF unavailable
62Generative Adversarial Networks-Part 01PDF unavailable
63Generative Adversarial Networks-Part 02PDF unavailable
64Variational AutoencodersPDF unavailable
65Combining VAEs and GANsPDF unavailable
66Beyond VAEs and GANs: Other Deep Generative Models-Part - 01PDF unavailable
67Beyond VAEs and GANs: Other Deep Generative Models-Part - 02PDF unavailable
68GAN ImprovementsPDF unavailable
69Deep Generative Models across Multiple DomainsPDF unavailable
70VAEs and DIsentanglementPDF unavailable
71Deep Generative Models: Image ApplicationsPDF unavailable
72Deep Generative Models: Video ApplicationsPDF unavailable
73Few-shot and Zero-shot Learning - Part 01PDF unavailable
74Few-shot and Zero-shot Learning - Part 02PDF unavailable
75Self-Supervised LearningPDF unavailable
76Adversarial RobustnessPDF unavailable
77Pruning and Model CompressionPDF unavailable
78Neural Architecture SearchPDF unavailable
79Course ConclusionPDF unavailable


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