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34 lines
379 B
Plaintext
34 lines
379 B
Plaintext
# Model Training
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## Selecting a Training Dataset
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## Neural Network Architectures
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### Multilayer Perceptron (MLP)
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### Convolutional Neural Networks
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### Recurrent Neural Networks
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### Transformers
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## Back Propagation
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## Convergence
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## Overfitting and Underfitting
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## Hyperparameters
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### Epochs
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### Learning Rate
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## Transfer Learning
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### Optimizer
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## Summary
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## Quiz
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