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Classroom Contents
CAP5415 - Training Neural Networks Part 2 - Fall 2020 - Lecture 7
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- 1 Network Parameters - recap
- 2 Learning phases - recap Images
- 3 Loss Function - recap
- 4 Train CNN with Gradient Descent
- 5 Loss Functions
- 6 Differentiability
- 7 Backpropagation - Chain Rule
- 8 UCF Optimization demo
- 9 Stochastic Gradient Descent
- 10 Gradient descent oscillations
- 11 Momentum
- 12 Lowering the learning rate
- 13 Problem of fitting
- 14 Data fitting problem
- 15 Early stopping
- 16 Training steps
- 17 AlexNet - Training
- 18 Residual Networks
