Deep Learning for humans
Project description
Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
Use Keras if you need a deep learning library that:
- Allows for easy and fast prototyping (through user friendliness, modularity, and extensibility).
- Supports both convolutional networks and recurrent networks, as well as combinations of the two.
- Runs seamlessly on CPU and GPU.
Read the documentation at: https://keras.io/
For a detailed overview of what makes Keras special, see: https://keras.io/why-use-keras/
Keras is compatible with Python 2.7-3.6 and is distributed under the MIT license.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size Keras-2.2.3-py2.py3-none-any.whl (312.5 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size Keras-2.2.3.tar.gz (765.7 kB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for Keras-2.2.3-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fd5a2b129d3eba8cdb2b0454b7abfae4b9d8c9e17d0300cd66bba43de8d256f2 |
|
| MD5 | 45a2213c29b18ac8bf4a1bd241d79e42 |
|
| BLAKE2-256 | 06eaad52366ce566f7b54d36834f98868f743ea81a416b3665459a9728287728 |
