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Keras is an open source deep learning library originally developed by François Chollet and now supported by Google. Keras provides a user-friendly API for building, training, and evaluating deep learning models.
Keras was designed to be easy to use and to enable rapid prototyping of deep learning models. It supports a variety of deep learning models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and multilayer perceptrons (MLPs). Keras can also integrate with other deep learning frameworks such as TensorFlow, Theano, and CNTK.
Keras offers a variety of features that simplify deep-learning model development, including automatic differentiation, a wide range of optimizers, integrated model validation and optimization, and the ability to train models on multiple GPUs.
Keras is popular with developers because it is easy to use and produces results quickly. It is widely used in academic research projects and in industry, and is an important component of many Deep Learning applications.