TensorFlow High Performance Numerical Computing Library Overview
TensorFlow is an open-source library for high-performance numerical computations, designed with a flexible architecture that allows easy deployment across various platforms (CPUs, GPUs, TPUs) including desktops, servers, and mobile devices. Initially developed by Google Brain team and released under the Apache 2.0 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. TensorFlow's core utilizes data flow graphs to represent computations, enabling efficient parallel processing and execution across different hardware platforms. Additionally, TensorFlow supports automatic differentiation crucial for implementing complex machine learning algorithms such as deep neural networks.
文件大小：46.28MB
评论区