Sl.No | Chapter Name | MP4 Download |
---|---|---|
1 | Course introduction - 1 | Download |
2 | Course introduction - 2 | Download |
3 | Introduction to Deep Learning - 1 | Download |
4 | Introduction to Deep Learning - 2 | Download |
5 | Introduction to Deep Learning - 3 | Download |
6 | Introduction to Neuron - 1 | Download |
7 | Introduction to Neuron - 2 | Download |
8 | Introduction to Neuron - 3 | Download |
9 | Multilayer Perceptron | Download |
10 | Regression and classification losses | Download |
11 | Training a neural network | Download |
12 | Gradient descent | Download |
13 | Activation function | Download |
14 | Backpropagation in MLP - 1 | Download |
15 | Backpropagation in MLP - 2 | Download |
16 | Optimization and Regularization - 1 | Download |
17 | Optimization and Regularization - 2 | Download |
18 | Regularization | Download |
19 | Dropout | Download |
20 | Pre-processing | Download |
21 | Convolutional Neural Networks - 1 | Download |
22 | Convolutional Neural Networks - 2 | Download |
23 | Convolutional Neural Networks - 3 | Download |
24 | Low-level vision - 1 | Download |
25 | Low-level vision - 2 | Download |
26 | Low-level vision - 3 | Download |
27 | Spatial Domain Filtering | Download |
28 | Frequency Domain Filtering | Download |
29 | Edge Detection - 1 | Download |
30 | Edge Detection - 2 | Download |
31 | DeepNets for Edge Detection | Download |
32 | Line detection | Download |
33 | Feature detectors | Download |
34 | Harris Corner Detector - 1 | Download |
35 | Harris Corner Detector - 2 | Download |
36 | Harris Corner Detector - 3 | Download |
37 | Blob detection - 1 | Download |
38 | Blob detection - 2 | Download |
39 | Blob detection - 3 | Download |
40 | SIFT - 1 | Download |
41 | SIFT - 2 | Download |
42 | Feature descriptors - 1 | Download |
43 | Feature descriptors - 2 | Download |
44 | SURF - 1 | Download |
45 | SURF - 2 | Download |
46 | Single-View Geometry - 1 | Download |
47 | Single-View Geometry - 2 | Download |
48 | 2D Geometric transformations - 1 | Download |
49 | 2D Geometric transformations - 2 | Download |
50 | Camera intrinsics and extrinsics - 1 | Download |
51 | Camera intrinsics and extrinsics - 2 | Download |
52 | Two-view stereo - 1 | Download |
53 | Two-view stereo - 2 | Download |
54 | Two-view stereo - 3 | Download |
55 | Algebraic representation of epipolar geometry - 1 | Download |
56 | Algebraic representation of epipolar geometry - 2 | Download |
57 | Fundamental matrix computation - 1 | Download |
58 | Fundamental matrix computation - 2 | Download |
59 | Structure from Motion - 1 | Download |
60 | Structure from Motion - 2 | Download |
61 | Structure from Motion - 3 | Download |
62 | Batch processing in SFM | Download |
63 | Multi-view SFM | Download |
64 | Factorization methods in SFM | Download |
65 | Bundle adjustment | Download |
66 | Dense 3D reconstruction | Download |
67 | Some results in Stereo and SFM | Download |
68 | Deepnets for stereo and SFM - 1 | Download |
69 | Deepnets for stereo and SFM - 2 | Download |
70 | Mid-level vision - 1 | Download |
71 | Mid-level vision - 2 | Download |
72 | Lucas-Kanade method for OF | Download |
73 | Handling large motion in optical flow | Download |
74 | Image segmentation | Download |
75 | GMM for clustering | Download |
76 | Deepnets for Segmentation and OF -1 | Download |
77 | Deepnets for Segmentation and OF -2 | Download |
78 | Deepnets for Segmentation and OF -3 | Download |
79 | Deepnets for Object Detection - 1 | Download |
80 | Deepnets for Object Detection - 2 | Download |
81 | Vision and Language | Download |
Sl.No | Chapter Name | English |
---|---|---|
1 | Course introduction - 1 | PDF unavailable |
2 | Course introduction - 2 | PDF unavailable |
3 | Introduction to Deep Learning - 1 | PDF unavailable |
4 | Introduction to Deep Learning - 2 | PDF unavailable |
5 | Introduction to Deep Learning - 3 | PDF unavailable |
6 | Introduction to Neuron - 1 | PDF unavailable |
7 | Introduction to Neuron - 2 | PDF unavailable |
8 | Introduction to Neuron - 3 | PDF unavailable |
9 | Multilayer Perceptron | PDF unavailable |
10 | Regression and classification losses | PDF unavailable |
11 | Training a neural network | PDF unavailable |
12 | Gradient descent | PDF unavailable |
13 | Activation function | PDF unavailable |
14 | Backpropagation in MLP - 1 | PDF unavailable |
15 | Backpropagation in MLP - 2 | PDF unavailable |
16 | Optimization and Regularization - 1 | PDF unavailable |
17 | Optimization and Regularization - 2 | PDF unavailable |
18 | Regularization | PDF unavailable |
19 | Dropout | PDF unavailable |
20 | Pre-processing | PDF unavailable |
21 | Convolutional Neural Networks - 1 | PDF unavailable |
22 | Convolutional Neural Networks - 2 | PDF unavailable |
23 | Convolutional Neural Networks - 3 | PDF unavailable |
24 | Low-level vision - 1 | PDF unavailable |
25 | Low-level vision - 2 | PDF unavailable |
26 | Low-level vision - 3 | PDF unavailable |
27 | Spatial Domain Filtering | PDF unavailable |
28 | Frequency Domain Filtering | PDF unavailable |
29 | Edge Detection - 1 | PDF unavailable |
30 | Edge Detection - 2 | PDF unavailable |
31 | DeepNets for Edge Detection | PDF unavailable |
32 | Line detection | PDF unavailable |
33 | Feature detectors | PDF unavailable |
34 | Harris Corner Detector - 1 | PDF unavailable |
35 | Harris Corner Detector - 2 | PDF unavailable |
36 | Harris Corner Detector - 3 | PDF unavailable |
37 | Blob detection - 1 | PDF unavailable |
38 | Blob detection - 2 | PDF unavailable |
39 | Blob detection - 3 | PDF unavailable |
40 | SIFT - 1 | PDF unavailable |
41 | SIFT - 2 | PDF unavailable |
42 | Feature descriptors - 1 | PDF unavailable |
43 | Feature descriptors - 2 | PDF unavailable |
44 | SURF - 1 | PDF unavailable |
45 | SURF - 2 | PDF unavailable |
46 | Single-View Geometry - 1 | PDF unavailable |
47 | Single-View Geometry - 2 | PDF unavailable |
48 | 2D Geometric transformations - 1 | PDF unavailable |
49 | 2D Geometric transformations - 2 | PDF unavailable |
50 | Camera intrinsics and extrinsics - 1 | PDF unavailable |
51 | Camera intrinsics and extrinsics - 2 | PDF unavailable |
52 | Two-view stereo - 1 | PDF unavailable |
53 | Two-view stereo - 2 | PDF unavailable |
54 | Two-view stereo - 3 | PDF unavailable |
55 | Algebraic representation of epipolar geometry - 1 | PDF unavailable |
56 | Algebraic representation of epipolar geometry - 2 | PDF unavailable |
57 | Fundamental matrix computation - 1 | PDF unavailable |
58 | Fundamental matrix computation - 2 | PDF unavailable |
59 | Structure from Motion - 1 | PDF unavailable |
60 | Structure from Motion - 2 | PDF unavailable |
61 | Structure from Motion - 3 | PDF unavailable |
62 | Batch processing in SFM | PDF unavailable |
63 | Multi-view SFM | PDF unavailable |
64 | Factorization methods in SFM | PDF unavailable |
65 | Bundle adjustment | PDF unavailable |
66 | Dense 3D reconstruction | PDF unavailable |
67 | Some results in Stereo and SFM | PDF unavailable |
68 | Deepnets for stereo and SFM - 1 | PDF unavailable |
69 | Deepnets for stereo and SFM - 2 | PDF unavailable |
70 | Mid-level vision - 1 | PDF unavailable |
71 | Mid-level vision - 2 | PDF unavailable |
72 | Lucas-Kanade method for OF | PDF unavailable |
73 | Handling large motion in optical flow | PDF unavailable |
74 | Image segmentation | PDF unavailable |
75 | GMM for clustering | PDF unavailable |
76 | Deepnets for Segmentation and OF -1 | PDF unavailable |
77 | Deepnets for Segmentation and OF -2 | PDF unavailable |
78 | Deepnets for Segmentation and OF -3 | PDF unavailable |
79 | Deepnets for Object Detection - 1 | PDF unavailable |
80 | Deepnets for Object Detection - 2 | PDF unavailable |
81 | Vision and Language | PDF unavailable |
Sl.No | Language | Book link |
---|---|---|
1 | English | Not Available |
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 |