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Things implemented:
* json_read() must die if the key does not exist or the value type is wrong.
* on predict command input should be shown exactly the same
* float precision CLI option should be added.
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things implemented:
- read output in false bug was solved.
- Make generic rule added to build test executables
- format option added to the CLI
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Documentation:
Example sections was improved
Files sections was added
Fixes:
default config filepath was fixed
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The man page must have a section specifying where to save configurations
files for loading the network architecture and weights.
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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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