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[FTUForum com] [UDEMY] Deep Learning Plunge into Deep Learning [FTU]
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How you can help Team-FTU.txt
1. Introduction
1. Applications of Deep Learning.mp4
2. What is Deep Learning.mp4
3. Why Deep Learning.mp4
4. Why now.mp4
2. Fundamentals
1. Hello World of Deep learning.mp4
2. Dataset and Features.mp4
3. Classification.mp4
3. Neural Networks
1. Perceptron.mp4
2. Sigmoid Function.mp4
3. Softmax Function.mp4
4. One Hot Encoding.mp4
5. Activation Functions.mp4
6. Logic Gates and XOR Problem.mp4
4. Training Neural Networks
1. Cross Entropy.mp4
10. Drop out.mp4
11. Vanishing Gradient Problem.mp4
2. Loss Optimization.mp4
3. Gradient Descent.mp4
4. Non Linear Models.mp4
5. Feed Forward.mp4
6. Backward Propagation.mp4
7. Overfitting problem.mp4
8. Early Stopping.mp4
9. Regularization.mp4
5. Convolution Neural Networks
1. Need for feature extraction.mp4
2. Preprocessing.mp4
3. Convolution Operation.mp4
4. Pooling Layer.mp4
5. Flattening.mp4
6. Sequence Models
1. Recurrent Neural Networks.mp4
2. LSTMs.mp4
3. Architecture of LSTMs.mp4
4. Forget Gate.mp4
5. Learn Gate.mp4
6. Remember Gate.mp4
7. Use Gate.mp4
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