- Implement the graph
- Visualize the graph with Dot
- Forward pass
- Backwards pass pass
- Make a neuron
- Make an MLP
- Make a loss function from some data
- Train the MLP according to the loss function
- Store the MLP as separate layers (findable neurons)
Folders and files
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