[neuralnet] update! Version 0.3 has just been released!
* New activation functions added
* Access to the internal structure of a trained network (e.g. the
latent space)
* Storing weights and biases during training for visualization
* Save models during training
* Signal-rate version of the object!
* Audio autoencoder example added!
Binaries for Linux, Raspberry Pi 3,4,5, macOS, and Windows (thanks Ben
Wesch for macOS and Windows) are available through deken.
Souces are available on GitHubhttps://github.com/alexdrymonitis/neuralnet
Thanks to Ben Wesch, Dan Wilcox, IOhannes m zmoelnig, Christof Ressi,
and others!
Enjoy!
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