Dependencies:
- linux
- Python 3.4+
- Chainer 1.0+
- CUDA 6.5+
- PyCUDA
- scikits.cuda
- CuDNN v2
chainerLayers is an implementation of different deep learning layer-wise architectures implemented as chainer-functions. They are specifically designed for both memory efficiency and high-performance.
lstmRegressor and mlpRegressor are examples of how chainerLayers can be used to build deep learning models