Welcome to nimblenet’s documentation!¶
nimblenet is a lightweight and efficient Numpy library for creating feed forward neural networks. The library was developed with PYPY in mind and should play nicely with their super-fast JIT compiler. The networks can be trained by a variety of learning algorithms: backpropagation, resilient backpropagation, adaptive learning rate backpropagation, scaled conjugate gradient and SciPy’s optimize function.
This is a list of handy links to get up and running.
Installing¶
$ pip install nimblenet
Dependencies¶
- Python 2.7
- NumPy
- SciPy (optional). This is of course a required depedency if you intend to train the network using SciPy’s
optimize
function.
Content¶
Support¶
Have you spotted a bug, or run into inconsistencies in the documentation? Please report the issue at Github.