Lib
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Project description
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
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| Filename, size & hash SHA256 hash help | File type | Python version | Upload date |
|---|---|---|---|
| gaunn-1.0.0-py2-none-any.whl (37.4 kB) Copy SHA256 hash SHA256 | Wheel | py2 | Aug 30, 2016 |
| gaunn-1.0.0.tar.gz (32.2 kB) Copy SHA256 hash SHA256 | Source | None | Aug 30, 2016 |
