DeepPy: Pythonic deep learning
Department of Applied Mathematics and Computer Science, Technical University of Denmark
DTU Compute Technical Report-2016-6, 2016
@article{larsen2016deeppy,
title={DeepPy: Pythonic deep learning},
author={Larsen, Anders Boesen Lindbo},
year={2016},
publisher={Technical University of Denmark (DTU)}
}
This technical report introduces DeepPy – a deep learning framework built on top of NumPy with GPU acceleration. DeepPy bridges the gap between highperformance neural networks and the ease of development from Python/NumPy. Users with a background in scientific computing in Python will quickly be able to understand and change the DeepPy codebase as it is mainly implemented using high-level NumPy primitives. Moreover, DeepPy supports complex network architectures by letting the user compose mathematical expressions as directed graphs. The latest version is available under the MIT license.
September 3, 2016 by hgpu