Keras is an API designed for human beings, not machines. Keras follows best practices for reducing cognitive load: it offers consistent & simple APIs, it minimizes the number of user actions required for...

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. Up until version 2.3 Keras supported multiple backends, including TensorFlow, Microsoft Cognitive Toolkit, Theano, and PlaidML.

Deep Learning for humans. Contribute to keras-team/keras development by creating an account on GitHub.

R interface to Keras. Keras is a high-level neural networks API developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good...

Keras is a high-level neural networks API for Python. Keras is compatible with Python 3.6+ and is distributed under the MIT license.

Keras is a high-level library that's built on top of Theano or TensorFlow. It provides a scikit-learn Keras is a high-level interface and uses Theano or Tensorflow for its backend. It runs smoothly on...

Keras: Deep Learning library for Theano and TensorFlow. Keras is a high-level neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Keras is a neural network library providing a high-level API in Python and R. Use this tag for questions relating to how to use this API. If you are using tensorflow's built-in keras, use the [tf.keras] tag.

Keras is a simple-to-use but powerful deep learning library for Python. This post is intended for complete beginners to Keras but does assume a basic background knowledge of neural networks.

In this Keras tutorial, you will learn about Keras framework or API. It is used to develop and define Deep Learning Models. Keras Tutorial provides a simple method to Develop Deep Learning Models.

Keras dense layer on the output layer performs dot product of input tensor and weight kernel matrix. We will show you two examples of Keras dense layer, the first example will show you how to build a...

Enter Keras and this Keras tutorial. Keras is a higher level library which operates over either TensorFlow or Theano, and is intended to stream-line the process of building deep learning networks.

Keras Loss and Keras Loss Functions. Generally, we train a deep neural network using a stochastic 3. Binary and Multiclass Loss in Keras. These loss functions are useful in algorithms where we have...