TensorFlow is an open-source software library developed by Google for machine learning and artificial intelligence applications. It provides a flexible and powerful framework for building and training deep learning models using a variety of techniques, such as neural networks, convolutional neural networks, and recurrent neural networks.
TensorFlow provides a variety of tools and APIs for working with data, building and training models, and deploying models for use in production environments. The TensorFlow API allows developers to create and train complex models using a simple and intuitive interface, and provides support for a wide range of hardware platforms, including CPUs, GPUs, and TPUs.
TensorFlow also includes a number of high-level APIs, such as Keras, that simplify the process of building and training deep learning models, and can be used to quickly prototype and test new ideas. Additionally, TensorFlow provides tools for data visualization, model debugging, and distributed training, making it a powerful and flexible tool for machine learning applications.
TensorFlow is widely used in many industries, including healthcare, finance, and automotive, and has been used to develop a variety of applications, such as image recognition, speech recognition, natural language processing, and autonomous driving, among others. Its popularity is due in part to its flexibility and ease of use, as well as its strong support for both research and production-level applications.