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[FTUForum.com] [UDEMY] Deep Learning Plunge into Deep Learning [FTU]

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1. Introduction/1. Applications of Deep Learning.mp4
45 MB
1. Introduction/2. What is Deep Learning.mp4
11 MB
1. Introduction/3. Why Deep Learning.mp4
5.6 MB
1. Introduction/4. Why now.mp4
16 MB
2. Fundamentals/1. Hello World of Deep learning.mp4
5.7 MB
2. Fundamentals/2. Dataset and Features.mp4
7.3 MB
2. Fundamentals/3. Classification.mp4
10 MB
3. Neural Networks/1. Perceptron.mp4
103 MB
3. Neural Networks/2. Sigmoid Function.mp4
43 MB
3. Neural Networks/3. Softmax Function.mp4
56 MB
3. Neural Networks/4. One Hot Encoding.mp4
31 MB
3. Neural Networks/5. Activation Functions.mp4
25 MB
3. Neural Networks/6. Logic Gates and XOR Problem.mp4
14 MB
4. Training Neural Networks/1. Cross Entropy.mp4
37 MB
4. Training Neural Networks/10. Drop out.mp4
7.9 MB
4. Training Neural Networks/11. Vanishing Gradient Problem.mp4
24 MB
4. Training Neural Networks/2. Loss Optimization.mp4
17 MB
4. Training Neural Networks/3. Gradient Descent.mp4
68 MB
4. Training Neural Networks/4. Non Linear Models.mp4
28 MB
4. Training Neural Networks/5. Feed Forward.mp4
27 MB
4. Training Neural Networks/6. Backward Propagation.mp4
14 MB
4. Training Neural Networks/7. Overfitting problem.mp4
30 MB
4. Training Neural Networks/8. Early Stopping.mp4
26 MB
4. Training Neural Networks/9. Regularization.mp4
21 MB
5. Convolution Neural Networks/1. Need for feature extraction.mp4
42 MB
5. Convolution Neural Networks/2. Preprocessing.mp4
10 MB
5. Convolution Neural Networks/3. Convolution Operation.mp4
226 MB
5. Convolution Neural Networks/4. Pooling Layer.mp4
30 MB
5. Convolution Neural Networks/5. Flattening.mp4
15 MB
6. Sequence Models/1. Recurrent Neural Networks.mp4
41 MB
6. Sequence Models/2. LSTMs.mp4
19 MB
6. Sequence Models/3. Architecture of LSTMs.mp4
20 MB
6. Sequence Models/4. Forget Gate.mp4
17 MB
6. Sequence Models/5. Learn Gate.mp4
9.6 MB
6. Sequence Models/6. Remember Gate.mp4
2.4 MB
6. Sequence Models/7. Use Gate.mp4
4.2 MB