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In both eager and graph executions, TensorFlow provides an API for distributing computation across multiple devices with various distribution strategies. [36] This distributed computing can often speed up the execution of training and evaluating of TensorFlow models and is a common practice in the field of AI.
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An application programming interface (API) is a connection between computers or between computer programs. It is a type of software interface, offering a service to other pieces of software. [1] A document or standard that describes how to build such a connection or interface is called an API specification.
Python 3.13 introduces some change in behavior, i.e. new "well-defined semantics", fixing bugs (plus many removals of deprecated classes, functions and methods, and removed some of the C API and outdated modules): "The [old] implementation of locals() and frame.f_locals is slow, inconsistent and buggy [and it] has many corner cases and oddities ...
Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google's own TensorFlow software. [2] Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by ...
API description languages are sometimes called interface description languages (IDLs). The structured description might be used to generate documentation for human programmers ; such documentation may be easier to read than free-form documentation, since all documentation generated by the same tool follows the same formatting conventions.
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]
Introduction: our main tutorial to the core principles of how to edit contained in thirteen short modules (as listed below). The Wikipedia Adventure: a module-guided tour with fun, interactive learning, and practice. Your first article: an article that discusses some of the dos and don'ts, then shows you how to create an article.