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- Training a Network by Minimizing the Loss
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Classroom Contents
Loss Function and Gradient Descent in Neural Network Training - Part 3.1
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- 1 - Introduction
- 2 - Preparing Training Datasets
- 3 - Regression and Classification Labels One-Hot Encoding
- 4 - Data Normalization
- 5 - Dataset Split Training, Validation, Testing
- 6 - Loss Functions L1, L2, Cross-Entropy
- 7 - Training a Network by Minimizing the Loss
- 8 - Gradient Descent
- 9 - Backpropagation and Gradient Vector
- 10 - Next Video...
