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Top 5 Deep Learning Frameworks in 2022.

Tensor Flow

The Javascript-based open-source learning platform has a wide range of tools to enable model deployment on different types of devices.

PyTorch

Developed by Facebook, it is a versatile framework, originally designed to explore the entire process, from research prototyping to production deployment.

Keras

 It is an open-source framework that can run on top of Tensorflow, Theano, Microsoft Cognitive Toolkit, and Plaid ML.

Sonnet

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.

MXNet

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.

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