[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.wes for macOS and Windows) are available through deken.
Souces are available on GitHub https://github.com/alexdrymonitis/neuralnet
Thanks to Ben Wesch (@ben.wes), Dan Wilcox, IOhannes m zmoelnig, Christof Ressi, and others!
Enjoy!