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Deep Learning

An Intro Tour to Deep Learning

1. A Comical Introduction to Neural Network
2. Activation, Initialization and Training a .Neural network
3. Gradient Descent Algorithm & Codes in PyTorch
4. Backpropagation Explained: A Step-by-Step Guide
5.Learning Rate strategy & PyTorch codes
6. Overfitting, Underfitting, Early Stopping, Restore Best Weights & Codes in PyTorch
7. Batch Normalization & Codes in PyTorch
8. Minibatch learning and variations of Gradient Descent
9. Gradient clipping and Pytorch codes
10. A Deep Dive into Adaptive Learning Rate Algorithms with PyTorch implementation

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