Deep learning foundations
The parts of a neural network and why a network can learn.
- Neural network basics
- Activation functions
- Loss functions
- Backpropagation and autodiff
- Initialization
- Expressivity and approximation
- Depth and width
- Inductive biases of networks
- Biological inspiration
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