Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, Microsoft Cognitive Toolkit, Theano, or PlaidML. It is designed for enabling fast experimentation with deep neural networks, focusing on user-friendliness, modularity, and extensibility. For application developers, Keras provides a simplified and consistent interface to construct complex neural network models with minimal code, which can significantly accelerate development cycles. It supports both convolutional networks and recurrent networks, as well as combinations of the two, and provides utilities to facilitate tasks like data manipulation and network visualization. Additionally, Keras is equipped with a wide range of pre-trained models and tools for big data, which can be particularly beneficial for prototyping and testing machine learning solutions in diverse domains such as image recognition, text classification, and time series forecasting.

View the most prominent open source Keras projects in the list below. Click on a specific project to view its alternative or complementary packages.