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TensorFlow

Software library

About

TensorFlow is a widely-used, open-source software library for machine learning and deep learning applications. Developed by the Google Brain Team, it was initially released in November 2015 under the Apache License 2.0. TensorFlow is designed to handle large-scale numerical computations and supports a variety of programming languages, including Python, C++, and JavaScript. It uses data flow graphs, where nodes represent mathematical operations and edges represent multidimensional data arrays called tensors. This architecture allows for efficient execution on CPUs, GPUs, and specialized hardware like TPUs. TensorFlow offers both high-level and low-level APIs, making it versatile for developers. The high-level Keras API simplifies model building, while the low-level TensorFlow Core provides detailed control for advanced users. Features like auto-differentiation and eager execution enhance its usability. TensorFlow is extensively used in applications such as image recognition, natural language processing, and reinforcement learning. Its flexibility allows deployment on various platforms, from mobile devices to cloud services. The library supports distributed computing, making it suitable for large-scale machine learning tasks.