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-2.3.1-py2.py3-none-any.whl (377.8 kB) | File type Wheel | Python version py2.py3 | Upload date | Hashes View |
| Filename, size Keras-2.3.1.tar.gz (1.3 MB) | File type Source | Python version None | Upload date | Hashes View |
Close
Hashes for Keras-2.3.1-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d08a57bd63546175f8f19232ba05906514d419da3e0af8ef7437fa1c11442e20 |
|
| MD5 | 8dc01e33d0b685cb3658f04d605c7211 |
|
| BLAKE2-256 | adfd6bfe87920d7f4fd475acd28500a42482b6b84479832bdc0fe9e589a60ceb |
