Keras is an open source neural network library written in Python. It is designed to be minimalistic, modular, and extensible. It is capable of running on top of either TensorFlow, Microsoft Cognitive Toolkit, or Theano. It is designed to enable fast experimentation with deep neural networks, and focuses on being user-friendly, modular, and extensible.

Keras was developed and maintained by Google engineer, François Chollet. It was initially released in March 2015 with version 0.2. The current version (2.4.2) was released in May 2020.

Keras can be used to build models for a variety of tasks such as classification, regression, generation, machine translation, and natural language processing. It has gained wide acceptance in the deep learning community due to its intuitive structure and ease of use. Keras also integrates well with other deep learning frameworks, making it a popular choice for researchers.

Keras is accessible to everyone, providing state-of-the-art deep learning solutions to various problems, from computer vision to natural language processing. It provides a range of tools for researchers to build and experiment with deep learning models, allowing them to rapidly prototype and test models. Keras is a great tool for beginner and advanced developers alike, allowing them to get started with deep learning with minimal effort.

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