**Keras**: the Python deep learning API

https://keras.io/

**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**- Wikipedia

https://en.wikipedia.org/wiki/Keras

**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.

GitHub -

**keras**-team/**keras**: Deep Learning for humanshttps://github.com/keras-team/keras

Deep Learning for humans. Contribute to

**keras**-team/**keras**development by creating an account on GitHub.
R Interface to

**Keras**•**keras**https://keras.rstudio.com/

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**· PyPI

https://pypi.org/project/Keras/

**Keras**is a high-level neural networks API for Python.

**Keras**is compatible with Python 3.6+ and is distributed under the MIT license.

The What's What of

**Keras**and TensorFlow | upGrad bloghttps://www.upgrad.com/blog/the-whats-what-of-keras-and-tensorflow/

**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...

Home -

**Keras**1.2.2 Documentationhttps://faroit.com/keras-docs/1.2.2/

**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.

Newest

**'keras'**Questions - Stack Overflowhttps://stackoverflow.com/questions/tagged/keras

**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**for Beginners: Building Your First Neural Network - victorzhou.com

https://victorzhou.com/blog/keras-neural-network-tutorial/

**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.

**Keras**Tutorial | What Is

**Keras**| Deep Learning With

**Keras**

https://mindmajix.com/keras-tutorial

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 Explained for... - Machine Learning Knowledge

https://machinelearningknowledge.ai/keras-dense-layer-explained-for-beginners/

**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...

**Keras**tutorial - build a convolutional... - Adventures in Machine Learning

https://adventuresinmachinelearning.com/keras-tutorial-cnn-11-lines/

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 Functions - Types and Examples - DataFlair

https://data-flair.training/blogs/keras-loss-functions/

**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...