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Keras contains numerous implementations of commonly used neural-network building blocks such as layers, objectives, activation functions, optimizers, and a host of tools for working with image and text data to simplify programming in deep neural network area. [11]
TensorFlow also offers a variety of libraries and extensions to advance and extend the models and methods used. [67] For example, TensorFlow Recommenders and TensorFlow Graphics are libraries for their respective functionalities in recommendation systems and graphics, TensorFlow Federated provides a framework for decentralized data, and ...
Conversational Remote Job Entry (CRJE) [5] is a component of OS/360 and OS/VS1 that provides job submission, job retrieval and editing for a user at an interactive terminal. Remote Entry Services] [6] [7] (RES) is a component of OS/VS1 that provides RJE services. An RES workstation operator may have complete console control of the job flow ...
Flux has been used as a framework to build neural networks that work with homomorphic encrypted data without ever decrypting it. [20] [21] This kind of application is envisioned to be central for privacy to future API using machine-learning models. [22] Flux.jl is an intermediate representation for running high level programs on CUDA hardware.
The tensor processing unit was announced in May 2016 at Google I/O, when the company said that the TPU had already been used inside their data centers for over a year. [ 5 ] [ 4 ] Google's 2017 paper describing its creation cites previous systolic matrix multipliers of similar architecture built in the 1990s. [ 8 ]
Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google that provides a series of modular cloud services including computing, data storage, data analytics, and machine learning, alongside a set of management tools. [5]
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