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Compatible with other formats Self-contained DNN Model Pre-processing and Post-processing Run-time configuration for tuning & calibration DNN model interconnect Common platform TensorFlow, Keras, Caffe, Torch: Algorithm training No No / Separate files in most formats No No No Yes ONNX: Algorithm training Yes No / Separate files in most formats ...
Keras was first independent software, then integrated into the TensorFlow library, and later supporting more. "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 ...
Other major changes included removal of old libraries, cross-compatibility between trained models on different versions of TensorFlow, and significant improvements to the performance on GPU. [ 33 ] Features
TensorFlow since version 1.6 and tensorflow above versions requires CPU supporting at least AVX. [58] Various CPU-based cryptocurrency miners (like pooler's cpuminer for Bitcoin and Litecoin) use AVX and AVX2 for various cryptography-related routines, including SHA-256 and scrypt. FFTW can utilize AVX, AVX2 and AVX-512 when available.
In computing, CUDA is a proprietary [2] parallel computing platform and application programming interface (API) that allows software to use certain types of graphics processing units (GPUs) for accelerated general-purpose processing, an approach called general-purpose computing on GPUs.
The RK2918 is compatible with Android Froyo (2.2), Gingerbread (2.3), HoneyComb (3.x) and Ice Cream Sandwich (4.0). [13] Unofficial support for Ubuntu and other Linux flavours exists. As of 2013, it was targeted at E-readers. [14] The RK2906 is basically a cost-reduced version of the RK2918, also targeted at E-readers as of 2013. [14]
In August 2018 Intel acquired Vertex.AI, a startup whose mission statement was “deep learning for every platform”. [6] Intel released PlaidML as free software under to the terms of the Apache Licence (version 2.0) to improve compatibility with nGraph, TensorFlow, and other ecosystem software.
PyTorch is a machine learning library based on the Torch library, [4] [5] [6] used for applications such as computer vision and natural language processing, [7] originally developed by Meta AI and now part of the Linux Foundation umbrella.