Keras is an open-source high-level Neural Network library, which is written in Python is capable enough to run on Theano, TensorFlow, or CNTK. It is made user-friendly, extensible, and modular for facilitating faster experimentation with deep neural networks. It not only supports Convolutional Networks and Recurrent Networks individually but also their combination.

It cannot handle low-level computations, so it makes use of the Backend library to resolve it. The backend library act as a high-level API wrapper for the low-level API, which lets it run on TensorFlow, CNTK, or Theano.

Key features available in Keras:

Focus on user experience has always been a major part of Keras.
It supports fast prototyping.
It seamlessly runs on CPU as well as GPU.< span>
It provides the freedom to design any architecture, which then later is utilized as an API for the project.
It is really very simple to get started with.
Easy production of models actually makes Keras special.

NOTE: Refer the ‘Keras’ text document on the Desktop.

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Keras on Windows Server 2019Apps4Rent LLC

Keras on Windows Server 2019

Apps4Rent LLC

Keras on Windows Server 2019

Apps4Rent LLC

Keras on Windows Server 2019
Apps4Rent LLC