Tensorflow is a free and open-source library for machine learning and deep learning, maintained by Google and released under the Apache 2.0 license. It was developed and maintained by Google’s Brain Team, which is led by computer scientist and director of Google Research, Jeff Dean.
At the core of Tensorflow is a library for representing deep learning models, allowing developers to quickly build, train, and deploy neural networks. It provides a comprehensive toolkit of algorithms and models for machine learning and deep learning research.
Tensorflow is designed to be easy to use and deploy, and can be used for a variety of tasks, such as artificial intelligence, natural language processing, image processing, data analysis, and more. It also provides features such as data visualization, weight initialization, and optimization, and can be used on CPU, GPU, TPU, and mobile devices.
In October 2019, Google renamed its “TensorFlow Extended” platform to “TensorFlow 2.0”. This new version supplies users with many useful features oriented towards better usability, performance, and scalability. These new features include improved support for programming languages, more intuitive APIs, support for Keras as the main high-level API, and support for mesh-based deployment.
Tensorflow is used in a wide range of applications, from healthcare and medicine, to robotics and autonomous driving, to natural language processing, image classification, and more. It is also used in many large and well-known companies such as Google, Netflix, Microsoft, and Uber.
Tensorflow is an important tool for researchers and developers alike, and is continuing to expand its reach and capabilities.