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2. Keras - Wikipedia

   en.wikipedia.org/wiki/Keras

   "Keras 3 is a full rewrite of Keras [and can be used] as a low-level cross-framework language to develop custom components such as layers, models, or metrics that can be used in native workflows in JAX, TensorFlow, or PyTorch — with one codebase."

3. TensorFlow - Wikipedia

   en.wikipedia.org/wiki/TensorFlow

   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 ...

4. Flux (machine-learning framework) - Wikipedia

   en.wikipedia.org/wiki/Flux_(machine-learning...

   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.

5. Tensor Processing Unit - Wikipedia

   en.wikipedia.org/wiki/Tensor_Processing_Unit

   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 ]

6. Neural network (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Neural_network_(machine...

   In unsupervised learning, input data is given along with the cost function, some function of the data and the network's output. The cost function is dependent on the task (the model domain) and any a priori assumptions (the implicit properties of the model, its parameters and the observed variables).

7. Google Cloud Platform - Wikipedia

   en.wikipedia.org/wiki/Google_Cloud_Platform

   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]