TensorFlow 2.5.1 for macOS

TensorFlow 2.5.1 for macOS is an open-source software library designed for high-performance numerical computations. It offers a flexible architecture, enabling users to deploy computations across various platforms such as CPUs, GPUs, and TPUs, on desktops, servers, or mobile devices. Originally developed by the Google Brain team and released under the Apache 2.0 open-source license in 2015, TensorFlow is known for its flexibility, scalability, and portability. It supports a wide range of computations, from mobile applications to complex machine learning systems. With a comprehensive ecosystem of libraries, tools, and community resources, TensorFlow empowers researchers to push the boundaries of AI and enables developers to easily build and deploy machine learning-driven applications. At its core, TensorFlow utilizes data flow graphs to represent computations, allowing for efficient parallel execution and high-performance across different hardware platforms. Additionally, TensorFlow supports automatic differentiation, crucial for implementing complex machine learning algorithms such as deep learning networks.