Deep learning is deeply intertwined with our lives today, and promises to enter many more domains in the near future. This article briefly describes the best open source deep learning tools.

  Alexa on your side table playing your favourite song, autonomous cars on the road, or Netflix suggesting shows based on what you have watched… the power of deep learning is evident all around us! A number of open source deep learning tools are used in this field. Let us take a brief look at some of the best ones.

Top 10 open source deep learning tools

                 TensorFlow

                  Keras

                  PyTorch

                  OpenNN

                  Microsoft Cognitive Toolkit

                  Apache MXNet

                  DeepLearningKit

                  Deeplearning4J

                  Darknet

                  PlaidML

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i)  TensorFlow

               

TensorFlow (www.tensorflow.org) is an open source deep learning framework for the development of machine learning and deep learning models, founded on November 9, 2015.

     npx create-react-app host-app

     npx create-react-app remote-app

This will create two apps for you:

              host-app/

              remote-app/

ii)  Adding Dependencies

               

Within each host-app/ and remote-app/ run:

     npm install –save-dev webpack webpack-cli html-webpack-plugin webpack-dev-server babel-loader css-loader

This will install webpack & dependencies that we need for webpack configuration.

NOTE:- Module Federation is available in version 5 and above of webpack.

After adding dependencies we can host our own app. |