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– Computing gradients for NN modules and Practical tricks for Back Propagation
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Classroom Contents
Stochastic Gradient Descent and Backpropagation
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- 1 – Week 2 – Lecture
- 2 – Gradient Descent Optimization Algorithm
- 3 – Advantages of SGD, Backpropagation for Traditional Neural Net
- 4 – PyTorch implementation of Neural Network and a Generalized Backprop Algorithm
- 5 – Basic Modules - LogSoftMax
- 6 – Practical Tricks for Backpropagation
- 7 – Computing gradients for NN modules and Practical tricks for Back Propagation
