Keras

Keras is an open source neural network library written in Python. It was developed with a focus on enabling fast experimentation and was developed by ,François Chollet, a Google AI researcher. Keras is a high-level neural network API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed to allow for quick experimentation with deep learning. Keras makes working withdata easier by having a consistent interface for working with various backend neural network libraries.

Keras is regarded as a user-friendly and modular way of developing deep learning applications, as stated in Chollet’s blog. The library provides a neural network building block for developers to use, which allows them to even create their own models.

Keras is easily expandable and supports convolutional and recurrent networks, as well as combinations of both, enabling developers to quickly build an effective neural network. The library can run on multiple GPUs and CPUs across numerous platforms, including Windows, Linux, and macOS.

Keras is widely used by many machine learning and deep learning communities around the world. It is used by professionals to build large, complex neural networks and by newbies to learn the basics of machine learning. The library has a large user base that supports each other and contributes to its advancement.

Keras pioneered the use of modern deep learning libraries and made it easier for developers to work with machine learning and artificial intelligence technology. It is an important tool that continues to advance and bring more developers into the field of data science.