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This contains Feedforward and Recurrent neural networks
Features
- Feedforward and Recurrent neural nets
- Contains logistic, tanh, ReLU, softmax neurons
- Standard loss functions (squared error, cross entropy, sparsity constraints), and support for custom loss functions
- Different methods to initialize weights
- Customizable connectivity between layers
- Inputs can be generated dynamically by some other system (like a simulation)
Quick start
Install the package via:
pip install gaunn
Requirements
- python 2.7 or 3.5
- numpy 1.9.2
- matplotlib 1.3.1
Release History
Download Files
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| File Name & Checksum SHA256 Checksum Help | Version | File Type | Upload Date |
|---|---|---|---|
| gaunn-1.0.0-py2-none-any.whl (37.4 kB) Copy SHA256 Checksum SHA256 | py2 | Wheel | Aug 30, 2016 |
| gaunn-1.0.0.tar.gz (32.2 kB) Copy SHA256 Checksum SHA256 | – | Source | Aug 30, 2016 |
