Modules / Lectures
NameDownloadDownload Size
Lecture NoteDownload as zip file348M
Module NameDownload


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

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 DetectionPDF unavailable
9From Edges to Blobs and CornersPDF unavailable
10Scale Space, Image Pyramids and Filter BanksDownload
Verified
11Feature Detectors : SIFT and VariantsPDF unavailable
12Image SegmentationPDF unavailable
13Other Feature SpacesDownload
Verified
14Human Visual SystemPDF unavailable
15Feature MatchingPDF unavailable
16Hough TransformPDF unavailable
17From Points to Images: Bag-of-Words and VLAD RepresentationsPDF unavailable
18Image Descriptor MatchingPDF unavailable
19Pyramid MatchingPDF unavailable
20From Traditional Vision to Deep LearningPDF unavailable
21Neural Networks: A Review - Part 1PDF unavailable
22Neural Networks: A Review - Part 2PDF unavailable
23Feedforward Neural Networks and Backpropagation - Part 1PDF unavailable
24Feedforward Neural Networks and Backpropagation - Part 2PDF unavailable
25Gradient Descent and Variants - Part 1PDF unavailable
26Gradient Descent and Variants - Part 2PDF unavailable
27Regularization in Neural Networks - Part 1PDF unavailable
28Regularization in Neural Networks - Part 2PDF unavailable
29Improving Training of Neural Networks - Part 1PDF unavailable
30Improving Training of Neural Networks - Part 2PDF unavailable
31Convolutional Neural Networks: An Introduction - Part 01PDF unavailable
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


Sl.No Language Book link
1EnglishNot Available
2BengaliNot Available
3GujaratiNot Available
4HindiNot Available
5KannadaNot Available
6MalayalamNot Available
7MarathiNot Available
8TamilNot Available
9TeluguNot Available