Skip to main content

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.

Project details


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.

Source Distribution

Keras-2.2.2.tar.gz (744.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

Keras-2.2.2-py2.py3-none-any.whl (299.3 kB view details)

Uploaded Python 2Python 3

File details

Details for the file Keras-2.2.2.tar.gz.

File metadata

  • Download URL: Keras-2.2.2.tar.gz
  • Upload date:
  • Size: 744.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.15.0 CPython/2.7.10

File hashes

Hashes for Keras-2.2.2.tar.gz
Algorithm Hash digest
SHA256 468d98da104ec5c3dbb10c2ef6bb345ab154f6ca2d722d4c250ef4d6105de17a
MD5 aa1449d29224ad2dea619ae62ae9d00b
BLAKE2b-256 6401878553a3af23d9a831edbe67889a61aad8b429409b38f5ac2604fba36e9f

See more details on using hashes here.

File details

Details for the file Keras-2.2.2-py2.py3-none-any.whl.

File metadata

  • Download URL: Keras-2.2.2-py2.py3-none-any.whl
  • Upload date:
  • Size: 299.3 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.1.0 requests-toolbelt/0.8.0 tqdm/4.15.0 CPython/2.7.10

File hashes

Hashes for Keras-2.2.2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 253cce021d73fa6d6e69e740bd985d6e2419dcb9fca96b2c8dbdd1736e3ec68d
MD5 d0a6d9ffaab475805011e3e8029caabd
BLAKE2b-256 347db1dedde8af99bd82f20ed7e9697aac0597de3049b1f786aa2aac3b9bd4da

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page