Modules / Lectures
Module NameDownload
noc20_cs50_assigment_1noc20_cs50_assigment_1
noc20_cs50_assigment_10noc20_cs50_assigment_10
noc20_cs50_assigment_11noc20_cs50_assigment_11
noc20_cs50_assigment_12noc20_cs50_assigment_12
noc20_cs50_assigment_13noc20_cs50_assigment_13
noc20_cs50_assigment_2noc20_cs50_assigment_2
noc20_cs50_assigment_3noc20_cs50_assigment_3
noc20_cs50_assigment_4noc20_cs50_assigment_4
noc20_cs50_assigment_5noc20_cs50_assigment_5
noc20_cs50_assigment_6noc20_cs50_assigment_6
noc20_cs50_assigment_7noc20_cs50_assigment_7
noc20_cs50_assigment_8noc20_cs50_assigment_8
noc20_cs50_assigment_9noc20_cs50_assigment_9


Sl.No Chapter Name MP4 Download
1Biological NeuronDownload
2 From Spring to Winter of AIDownload
3The Deep RevivalDownload
4From Cats to Convolutional Neural NetworksDownload
5Faster, higher, strongerDownload
6The Curious Case of SequencesDownload
7Beating humans at their own games (literally)Download
8 The Madness (2013-)Download
9(Need for) SanityDownload
10Motivation from Biological NeuronsDownload
11McCulloch Pitts Neuron, Thresholding LogicDownload
12PerceptronsDownload
13Error and Error SurfacesDownload
14Perceptron Learning AlgorithmDownload
15Proof of Convergence of Perceptron Learning AlgorithmDownload
16Deep Learning(CS7015): Linearly Separable Boolean FunctionsDownload
17Deep Learning(CS7015): Representation Power of a Network of PerceptronsDownload
18Deep Learning(CS7015): Sigmoid NeuronDownload
19Deep Learning(CS7015): A typical Supervised Machine Learning SetupDownload
20Deep Learning(CS7015): Learning Parameters: (Infeasible) guess workDownload
21Deep Learning(CS7015): Learning Parameters: Gradient DescentDownload
22Deep Learning(CS7015): Representation Power of Multilayer Network of Sigmoid NeuronsDownload
23Feedforward Neural Networks (a.k.a multilayered network of neurons)Download
24Learning Paramters of Feedforward Neural Networks (Intuition)Download
25Output functions and Loss functionsDownload
26Backpropagation (Intuition)Download
27Backpropagation: Computing Gradients w.r.t. the Output UnitsDownload
28Backpropagation: Computing Gradients w.r.t. Hidden UnitsDownload
29Backpropagation: Computing Gradients w.r.t. ParametersDownload
30Backpropagation: Pseudo codeDownload
31Derivative of the activation functionDownload
32Information content, Entropy & cross entropyDownload
33Recap: Learning Parameters: Guess Work, Gradient DescentDownload
34Contours MapsDownload
35Momentum based Gradient DescentDownload
36Nesterov Accelerated Gradient DescentDownload
37Stochastic And Mini-Batch Gradient DescentDownload
38Tips for Adjusting Learning Rate and MomentumDownload
39Line SearchDownload
40Gradient Descent with Adaptive Learning RateDownload
41Bias Correction in AdamDownload
42Eigenvalues and EigenvectorsDownload
43Linear Algebra : Basic DefinitionsDownload
44Eigenvalue DecompositonDownload
45Principal Component Analysis and its InterpretationsDownload
46PCA : Interpretation 2Download
47PCA : Interpretation 3Download
48PCA : Interpretation 3 (Contd.)Download
49PCA : Practical ExampleDownload
50Singular Value DecompositionDownload
51Introduction to AutoncodersDownload
52Link between PCA and AutoencodersDownload
53Regularization in autoencoders (Motivation)Download
54Denoising AutoencodersDownload
55Sparse AutoencodersDownload
56Contractive AutoencodersDownload
57 Bias and VarianceDownload
58Train error vs Test errorDownload
59Train error vs Test error (Recap)Download
60True error and Model complexityDownload
61L2 regularizationDownload
62Dataset augmentationDownload
63Parameter sharing and tyingDownload
64Adding Noise to the inputsDownload
65Adding Noise to the outputsDownload
66Early stoppingDownload
67Ensemble MethodsDownload
68DropoutDownload
69A quick recap of training deep neural networksDownload
70Unsupervised pre-trainingDownload
71Better activation functionsDownload
72Better initialization strategiesDownload
73Batch NormalizationDownload
74One-hot representations of wordsDownload
75Distributed Representations of wordsDownload
76SVD for learning word representationsDownload
77 SVD for learning word representations (Contd.)Download
78Continuous bag of words modelDownload
79Skip-gram modelDownload
80Skip-gram model (Contd.)Download
81Contrastive estimationDownload
82Hierarchical softmaxDownload
83GloVe representationsDownload
84Evaluating word representationsDownload
85Relation between SVD and Word2VecDownload
86The convolution operationDownload
87Relation between input size, output size and filter sizeDownload
88Convolutional Neural NetworksDownload
89Convolutional Neural Networks (Contd.)Download
90CNNs (success stories on ImageNet)Download
91CNNs (success stories on ImageNet) (Contd.)Download
92Image Classification continued (GoogLeNet and ResNet)Download
93Visualizing patches which maximally activate a neuronDownload
94Visualizing filters of a CNNDownload
95Occlusion experimentsDownload
96Finding influence of input pixels using backpropagationDownload
97Guided BackpropagationDownload
98Optimization over imagesDownload
99Create images from embeddingsDownload
100Deep DreamDownload
101Deep ArtDownload
102Fooling Deep Convolutional Neural NetworksDownload
103Sequence Learning ProblemsDownload
104Recurrent Neural NetworksDownload
105Backpropagation through timeDownload
106The problem of Exploding and Vanishing GradientsDownload
107Some Gory DetailsDownload
108Selective Read, Selective Write, Selective Forget - The Whiteboard AnalogyDownload
109Long Short Term Memory(LSTM) and Gated Recurrent Units(GRUs)Download
110How LSTMs avoid the problem of vanishing gradientsDownload
111How LSTMs avoid the problem of vanishing gradients (Contd.)Download
112Introduction to Encoder Decoder ModelsDownload
113Applications of Encoder Decoder modelsDownload
114Attention MechanismDownload
115Attention Mechanism (Contd.)Download
116Attention over imagesDownload
117Hierarchical AttentionDownload

Sl.No Chapter Name English
1Biological NeuronDownload
Verified
2 From Spring to Winter of AIDownload
Verified
3The Deep RevivalDownload
Verified
4From Cats to Convolutional Neural NetworksDownload
Verified
5Faster, higher, strongerDownload
Verified
6The Curious Case of SequencesDownload
Verified
7Beating humans at their own games (literally)Download
Verified
8 The Madness (2013-)Download
Verified
9(Need for) SanityDownload
Verified
10Motivation from Biological NeuronsDownload
Verified
11McCulloch Pitts Neuron, Thresholding LogicDownload
Verified
12PerceptronsDownload
Verified
13Error and Error SurfacesDownload
Verified
14Perceptron Learning AlgorithmDownload
Verified
15Proof of Convergence of Perceptron Learning AlgorithmDownload
Verified
16Deep Learning(CS7015): Linearly Separable Boolean FunctionsDownload
Verified
17Deep Learning(CS7015): Representation Power of a Network of PerceptronsDownload
Verified
18Deep Learning(CS7015): Sigmoid NeuronDownload
Verified
19Deep Learning(CS7015): A typical Supervised Machine Learning SetupDownload
Verified
20Deep Learning(CS7015): Learning Parameters: (Infeasible) guess workDownload
Verified
21Deep Learning(CS7015): Learning Parameters: Gradient DescentDownload
Verified
22Deep Learning(CS7015): Representation Power of Multilayer Network of Sigmoid NeuronsDownload
Verified
23Feedforward Neural Networks (a.k.a multilayered network of neurons)Download
Verified
24Learning Paramters of Feedforward Neural Networks (Intuition)Download
Verified
25Output functions and Loss functionsDownload
Verified
26Backpropagation (Intuition)Download
Verified
27Backpropagation: Computing Gradients w.r.t. the Output UnitsDownload
Verified
28Backpropagation: Computing Gradients w.r.t. Hidden UnitsDownload
Verified
29Backpropagation: Computing Gradients w.r.t. ParametersDownload
Verified
30Backpropagation: Pseudo codeDownload
Verified
31Derivative of the activation functionDownload
Verified
32Information content, Entropy & cross entropyDownload
Verified
33Recap: Learning Parameters: Guess Work, Gradient DescentDownload
Verified
34Contours MapsDownload
Verified
35Momentum based Gradient DescentDownload
Verified
36Nesterov Accelerated Gradient DescentDownload
Verified
37Stochastic And Mini-Batch Gradient DescentDownload
Verified
38Tips for Adjusting Learning Rate and MomentumDownload
Verified
39Line SearchDownload
Verified
40Gradient Descent with Adaptive Learning RateDownload
Verified
41Bias Correction in AdamDownload
Verified
42Eigenvalues and EigenvectorsDownload
Verified
43Linear Algebra : Basic DefinitionsDownload
Verified
44Eigenvalue DecompositonDownload
Verified
45Principal Component Analysis and its InterpretationsDownload
Verified
46PCA : Interpretation 2Download
Verified
47PCA : Interpretation 3Download
Verified
48PCA : Interpretation 3 (Contd.)Download
Verified
49PCA : Practical ExampleDownload
Verified
50Singular Value DecompositionDownload
Verified
51Introduction to AutoncodersDownload
Verified
52Link between PCA and AutoencodersDownload
Verified
53Regularization in autoencoders (Motivation)Download
Verified
54Denoising AutoencodersDownload
Verified
55Sparse AutoencodersDownload
Verified
56Contractive AutoencodersDownload
Verified
57 Bias and VarianceDownload
Verified
58Train error vs Test errorDownload
Verified
59Train error vs Test error (Recap)Download
Verified
60True error and Model complexityDownload
Verified
61L2 regularizationDownload
Verified
62Dataset augmentationDownload
Verified
63Parameter sharing and tyingDownload
Verified
64Adding Noise to the inputsDownload
Verified
65Adding Noise to the outputsDownload
Verified
66Early stoppingDownload
Verified
67Ensemble MethodsDownload
Verified
68DropoutDownload
Verified
69A quick recap of training deep neural networksDownload
Verified
70Unsupervised pre-trainingDownload
Verified
71Better activation functionsDownload
Verified
72Better initialization strategiesDownload
Verified
73Batch NormalizationDownload
Verified
74One-hot representations of wordsDownload
Verified
75Distributed Representations of wordsDownload
Verified
76SVD for learning word representationsDownload
Verified
77 SVD for learning word representations (Contd.)Download
Verified
78Continuous bag of words modelDownload
Verified
79Skip-gram modelDownload
Verified
80Skip-gram model (Contd.)Download
Verified
81Contrastive estimationDownload
Verified
82Hierarchical softmaxDownload
Verified
83GloVe representationsDownload
Verified
84Evaluating word representationsDownload
Verified
85Relation between SVD and Word2VecDownload
Verified
86The convolution operationDownload
Verified
87Relation between input size, output size and filter sizeDownload
Verified
88Convolutional Neural NetworksDownload
Verified
89Convolutional Neural Networks (Contd.)Download
Verified
90CNNs (success stories on ImageNet)Download
Verified
91CNNs (success stories on ImageNet) (Contd.)Download
Verified
92Image Classification continued (GoogLeNet and ResNet)Download
Verified
93Visualizing patches which maximally activate a neuronDownload
Verified
94Visualizing filters of a CNNDownload
Verified
95Occlusion experimentsDownload
Verified
96Finding influence of input pixels using backpropagationDownload
Verified
97Guided BackpropagationDownload
Verified
98Optimization over imagesDownload
Verified
99Create images from embeddingsDownload
Verified
100Deep DreamDownload
Verified
101Deep ArtDownload
Verified
102Fooling Deep Convolutional Neural NetworksDownload
Verified
103Sequence Learning ProblemsDownload
Verified
104Recurrent Neural NetworksDownload
Verified
105Backpropagation through timeDownload
Verified
106The problem of Exploding and Vanishing GradientsDownload
Verified
107Some Gory DetailsDownload
Verified
108Selective Read, Selective Write, Selective Forget - The Whiteboard AnalogyDownload
Verified
109Long Short Term Memory(LSTM) and Gated Recurrent Units(GRUs)Download
Verified
110How LSTMs avoid the problem of vanishing gradientsDownload
Verified
111How LSTMs avoid the problem of vanishing gradients (Contd.)Download
Verified
112Introduction to Encoder Decoder ModelsDownload
Verified
113Applications of Encoder Decoder modelsDownload
Verified
114Attention MechanismDownload
Verified
115Attention Mechanism (Contd.)Download
Verified
116Attention over imagesDownload
Verified
117Hierarchical AttentionDownload
Verified


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