Top 5 Deep Learning Frameworks in 2022.

WWW.DOHFWBIHAR.ORG programming [{ "selector": ".hplex-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "opacity": 0}, {"offset": 1, "opacity": 1} ] }, { "selector": ".kocbp-a", "duration": "500ms", "fill": "forwards", "delay": "1500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 523px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".xuyco-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "opacity": 0}, {"offset": 1, "opacity": 1} ] }, { "selector": ".flzig-a", "duration": "500ms", "fill": "forwards", "delay": "1000ms", "keyframes": [ {"offset": 0, "opacity": 0}, {"offset": 1, "opacity": 1} ] }, { "selector": ".twlsj-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

Tensor Flow

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The Javascript-based open-source learning platform has a wide range of tools to enable model deployment on different types of devices. [{ "selector": ".mcyqk-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 318px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".sbkfq-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 389px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".dhent-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".zmamh-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 417px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

PyTorch

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Developed by Facebook, it is a versatile framework, originally designed to explore the entire process, from research prototyping to production deployment. [{ "selector": ".obmma-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 318px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".ezgdc-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 389px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".pqond-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".tcqnn-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 417px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

Keras

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It is an open-source framework that can run on top of Tensorflow, Theano, Microsoft Cognitive Toolkit, and Plaid ML. [{ "selector": ".ongzy-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 318px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".jnbrk-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 389px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".edozq-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".vntib-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 417px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

Sonnet

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A high-level library that is used in building complex neural network structures in Tensorflow. It simplifies the high-level architectural designs by independently creating Python objects to a graph. [{ "selector": ".ofzxp-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 318px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".ceeyn-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 389px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".nrnvx-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".huhil-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 417px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

MXNet

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Deep learning framework designed to train and deploy deep neural networks. It is capable of fast model training and supports multiple programming languages such as C, C++, Python, Julia, Matlab, etc. [{ "selector": ".okchh-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 318px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".vjvfk-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 389px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".ptesy-a", "duration": "500ms", "fill": "forwards", "delay": "0ms", "keyframes": [ {"offset": 0, "transform": "translateY(-66px)", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }, { "selector": ".npzmk-a", "duration": "500ms", "fill": "forwards", "delay": "500ms", "keyframes": [ {"offset": 0, "transform": "translateY(calc(600px - 417px))", "opacity": 1}, {"offset": 1, "transform": "translateY(0)", "opacity": 1} ] }]

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