Keras: Deep Learning for humans | Website analytics by TrustRadar
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Keras: Deep Learning for humans

Keras documentation

Keras is an open-source software library that provides a Python interface for artificial neural networks. Keras acts as an interface for the TensorFlow library. It is designed to enable fast experimentation with deep neural networks, focusing on being user-friendly, modular, and extensible. Keras supports both convolutional networks and recurrent networks, as well as combinations of the two. It runs seamlessly on both CPU and GPU.

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Technology Machine Learning
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Founded in

2015

Supported Languages

English, etc

Website Key Features

User-friendly

Keras is designed for human beings, not machines. It puts user experience front and center.

Modularity

A model is understood as a sequence or a graph of standalone, fully-configurable modules that can be plugged together with as few restrictions as possible.

Easy extensibility

New modules are simple to add (as new classes and functions), and existing modules provide ample examples.

Python-based

Keras is written in Python, which makes it easy to debug and allows for ease of extensibility.

Compatibility

Keras is compatible with Python 2.7-3.6 and can seamlessly execute on GPUs and CPUs.

Pre-trained models

Keras comes with a number of pre-trained models that can be used for prediction, feature extraction, and fine-tuning.

Support for convolutional and recurrent networks

Keras supports both convolutional networks and recurrent networks, as well as combinations of the two.

Multi-GPU support

Keras allows for the easy use of multiple GPUs to train deep learning models.

Similar Sites and Competitors

T

TensorFlow

tensorflow.org
P

PyTorch

pytorch.org
S

Scikit-learn

scikit-learn.org
D

Theano

deeplearning.net
C

Caffe

caffe.berkeleyvision.org
M

MXNet

mxnet.apache.org
C

Chainer

chainer.org
D

Deeplearning4j

deeplearning4j.org
D

CNTK

docs.microsoft.com
T

Torch

torch.ch

Additional information

License

MIT License

Repository

https://github.com/keras-team/keras

Documentation

https://keras.io/

Community

Keras has a large and active community of users and contributors, making it easy to find help and resources.

Integration

Keras can be used with TensorFlow, Theano, and CNTK backends.

HTTP headers

Security headers report is a very important part of user data protection. Learn more about http headers for keras.io