neural-api
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Better Documentation and/or Examples
The documentation should include:
- Fitting options (Image classification, volume pairs, callbacks).
- Layer activation functions.
- How to hide or override warnings and errors when optimizing a NN.
- Include an autoencoder example and describe the importance of Hyperbolic Tangent with autoencoders and generative networks.
I saw the recent commits with new layer types (like addConcatInputOutput). The description of what does these layer types would be appreciated. I also noted some layers types are not described (or listed) in the documentation, like the dropout layer. Can you update a give a short description of what it does for each layer type. Thanks
Thank you for the heads up. I'll work on it.