Age | Commit message (Collapse) | Author |
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train subcommand can read and train the network
TODO:
- Refactor json_read() to parse multiple labels
- Implement a function to save network weights once the network have
trained
- Implement a function to load trained weights to use with predict
subcommand
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parameters implemented:
- input_keys
- label_keys
- epochs
- labels
- weights_path
Network weights and architecture loading is not implemented yet.
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The program config parameters where encapsulated in a struct to keep
track of them without implementing a lot of functions
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The point is have this file for new activation function without bloating
nn.c file
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Training function were fixed and new activation and cost function were
implemented
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