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| Activation Functions.mp4 |
151.30MB |
| Activation Functions.mp4 |
41.88MB |
| AlexNet.mp4 |
73.82MB |
| Analysis - Part 1.mp4 |
109.77MB |
| Analysis - Part 2.mp4 |
46.01MB |
| Applications for CNN.mp4 |
54.50MB |
| Architecture.mp4 |
22.48MB |
| Assumptions in Neural Networks.mp4 |
45.80MB |
| Back Propagation Training - Part 1.mp4 |
46.54MB |
| Back Propagation Training - Part 10.mp4 |
23.04MB |
| Back Propagation Training - Part 2.mp4 |
38.07MB |
| Back Propagation Training - Part 3.mp4 |
14.74MB |
| Back Propagation Training - Part 4.mp4 |
34.74MB |
| Back Propagation Training - Part 5.mp4 |
34.76MB |
| Back Propagation Training - Part 6.mp4 |
23.30MB |
| Back Propagation Training - Part 7.mp4 |
20.59MB |
| Back Propagation Training - Part 8.mp4 |
27.00MB |
| Back Propagation Training - Part 9.mp4 |
28.96MB |
| Batch data.mp4 |
8.52MB |
| Batch Normalisation - Part 1.mp4 |
36.08MB |
| Batch Normalisation - Part 2.mp4 |
37.55MB |
| Batch Normalisation - Part 3.mp4 |
50.64MB |
| Bidirectional RNN.mp4 |
14.31MB |
| Bidirectional RNN.mp4 |
43.49MB |
| Case Study - Part 1.mp4 |
194.08MB |
| Case Study - Part 2.mp4 |
95.90MB |
| Case Study - Part 3.mp4 |
39.14MB |
| Code Password.mp4 |
719.85KB |
| Combining Network.mp4 |
53.18MB |
| Convolution - Part 1.mp4 |
43.40MB |
| Convolution - Part 2.mp4 |
79.49MB |
| Deep Learning.mp4 |
28.97MB |
| Dropouts Part 1.mp4 |
24.18MB |
| Dropouts Part 2.mp4 |
13.46MB |
| Example for Perceptron.mp4 |
44.98MB |
| Feature Map.mp4 |
127.57MB |
| Finding Global Minima.mp4 |
10.31MB |
| Formulas.mp4 |
18.56MB |
| Gated Recurrent Network (GRU).mp4 |
27.03MB |
| GoogleNet.mp4 |
48.70MB |
| History of Deep learning.mp4 |
81.44MB |
| Homogeneous Co-ordinate.mp4 |
23.61MB |
| How you can help our Group!.txt |
208B |
| Idea behind CNN - Part 1.mp4 |
45.92MB |
| Idea behind CNN - Part 2.mp4 |
75.88MB |
| Images.mp4 |
161.11MB |
| Input Layer.mp4 |
53.57MB |
| Introducing Keras.mp4 |
122.91MB |
| Introducing Loss Function.mp4 |
44.13MB |
| Introducing TensorFlow.mp4 |
45.42MB |
| Introduction.mp4 |
65.60MB |
| Introduction.mp4 |
10.86MB |
| Introduction.mp4 |
4.43MB |
| Introduction.mp4 |
23.91MB |
| Introduction.mp4 |
50.45MB |
| Introduction.mp4 |
35.37MB |
| Introduction.mp4 |
42.93MB |
| Introduction.mp4 |
7.73MB |
| Introduction.mp4 |
44.61MB |
| Introduction.mp4 |
19.69MB |
| Introduction to Regularisation.mp4 |
49.04MB |
| Introduction to RNN.mp4 |
13.47MB |
| LSTM Equation.mp4 |
8.51MB |
| LSTM - Part 1.mp4 |
7.66MB |
| LSTM - Part 2.mp4 |
5.96MB |
| LSTM - Part 3.mp4 |
4.17MB |
| LSTM - Part 4.mp4 |
11.56MB |
| LSTM - Part 5.mp4 |
19.68MB |
| Multi Classifier.mp4 |
37.87MB |
| Multi-Level Perceptrons.mp4 |
81.52MB |
| Neural Network Playground.mp4 |
152.12MB |
| Neural Networks.mp4 |
49.32MB |
| One-to-Many.mp4 |
17.41MB |
| Online Offline Mode.mp4 |
10.25MB |
| Online Offline Mode.mp4 |
36.04MB |
| Output Layer.mp4 |
14.07MB |
| Padding.mp4 |
15.13MB |
| Part-Of-Speech Tagger case-study (Part-1).mp4 |
56.18MB |
| Part-Of-Speech Tagger case- study (Part-2).mp4 |
87.66MB |
| Part-Of-Speech Tagger case- study (Part-3).mp4 |
42.59MB |
| Part-Of-Speech Tagger case- study (Part-4).mp4 |
57.08MB |
| Part-Of-Speech Tagger case- study (Part-5).mp4 |
109.35MB |
| Part-Of-Speech Tagger case- study (Part-6).mp4 |
25.65MB |
| Part-Of-Speech Tagger case- study (Part-7).mp4 |
59.99MB |
| Part-Of-Speech Tagger case- study (Part-8).mp4 |
120.05MB |
| Part-Of-Speech Tagger case- study (Part-9).mp4 |
30.86MB |
| Perceptron.mp4 |
29.65MB |
| Perceptron for Classifiers.mp4 |
31.96MB |
| Perceptron in Depth.mp4 |
30.71MB |
| Perceptrons.mp4 |
37.66MB |
| Pooling.mp4 |
70.59MB |
| Practical on CNN - Case Study - Part 1.mp4 |
10.29MB |
| Practical on CNN - Case Study - Part 2.mp4 |
28.31MB |
| Practical on CNN - Case Study - Part 3.mp4 |
36.00MB |
| Practical on CNN - Case Study - Part 4.mp4 |
13.22MB |
| Practical on CNN - Case Study - Part 5.mp4 |
7.50MB |
| Pseudocode.mp4 |
40.65MB |
| Pseudocode.mp4 |
12.67MB |
| Pseudocode for Batch.mp4 |
28.82MB |
| Representations.mp4 |
158.08MB |
| ResNet - Part 1.mp4 |
32.30MB |
| ResNet - Part 2.mp4 |
28.15MB |
| RNN Formula.mp4 |
29.21MB |
| RNN - Part 1.mp4 |
9.87MB |
| RNN Part 2.mp4 |
6.43MB |
| SGD.mp4 |
38.95MB |
| Sigmoid function.mp4 |
26.53MB |
| Sigmoid Function.mp4 |
25.96MB |
| Simplified Notations.mp4 |
29.40MB |
| Stride and Padding.mp4 |
34.19MB |
| Text Generation - Code generator case- study (Part-1).mp4 |
171.29MB |
| Text Generation - Code generator case- study (Part-2).mp4 |
105.19MB |
| Text Generation - Code generator case- study (Part-3).mp4 |
48.67MB |
| Text Generation - Code generator case- study (Part-4).mp4 |
40.03MB |
| Training for Batches.mp4 |
22.82MB |
| Training in Neural Networks.mp4 |
32.74MB |
| Training Neural Network - Part 1.mp4 |
122.56MB |
| Training Neural Network - Part 2.mp4 |
56.79MB |
| Training Neural Network - Part 3.mp4 |
110.75MB |
| Training RNN.mp4 |
11.60MB |
| Transfer Learning - Part 1.mp4 |
7.42MB |
| Transfer Learning - Part 2.mp4 |
19.86MB |
| Transfer Learning - Part 3.mp4 |
35.32MB |
| Transfer Learning - Part 4.mp4 |
39.90MB |
| Transfer Learning - Part 5.mp4 |
27.10MB |
| Transfer Learning - Part 6.mp4 |
36.34MB |
| Types of RNN - Part 1.mp4 |
7.41MB |
| Types of RNN - Part 2.mp4 |
13.22MB |
| Understanding Dimensions.mp4 |
58.63MB |
| Understanding Human Brain.mp4 |
26.64MB |
| Understanding MNIST.mp4 |
20.44MB |
| Understanding Notations.mp4 |
99.95MB |
| Vanishing Gradient.mp4 |
21.37MB |
| Vectorised Methods.mp4 |
81.39MB |
| VGG16 (Visual Geometry Group).mp4 |
44.63MB |
| Video.mp4 |
40.00MB |
| Weight and Bias.mp4 |
82.52MB |
| Working with Flower Images - Case Study - Part 1.mp4 |
49.56MB |
| Working with Flower Images - Case Study - Part 10.mp4 |
56.74MB |
| Working with Flower Images - Case Study - Part 11.mp4 |
61.74MB |
| Working with Flower Images - Case Study - Part 12.mp4 |
159.46MB |
| Working with Flower Images - Case Study - Part 13.mp4 |
31.75MB |
| Working with Flower Images - Case Study - Part 14.mp4 |
75.11MB |
| Working with Flower Images - Case Study - Part 2.mp4 |
118.70MB |
| Working with Flower Images - Case Study - Part 3.mp4 |
50.13MB |
| Working with Flower Images - Case Study - Part 4.mp4 |
48.57MB |
| Working with Flower Images - Case Study - Part 5.mp4 |
39.33MB |
| Working with Flower Images - Case Study - Part 6.mp4 |
72.10MB |
| Working with Flower Images - Case Study - Part 7.mp4 |
26.29MB |
| Working with Flower Images - Case Study - Part 8.mp4 |
91.39MB |
| Working with Flower Images - Case Study - Part 9.mp4 |
81.05MB |
| Working with X-Ray images - Case Study - Part 1.mp4 |
9.03MB |
| Working with X-Ray images - Case Study - Part 2.mp4 |
8.82MB |
| Working with X-Ray images - Case Study - Part 3.mp4 |
14.09MB |
| Working with X-Ray images - Case Study - Part 4.mp4 |
18.31MB |
| Working with X-Ray images - Case Study - Part 5.mp4 |
26.57MB |
| Working with X-Ray images - Case Study - Part 6.mp4 |
18.34MB |