Training of Deep Learning Networks

This section of the book details on training Deep Learning Networks. PyTorch is one of the popular AI framework to model Deep Learning Networks and also train, test and deploy Deep Learning Networks. TensorFlow is another AI framework that have similar functionalities of PyTorch. These two mentioned AI frameworks provides Low code option for developer. However, major limitation arise from its dependency from many other open source packages in python. DLtrain is overcome above issues and provides clean AI framework which can be classified as NO Code category. DL train is developed by using C \(++\) and it is easy to port on to many platforms across silicon vendors. Moreover, Dltrain is GPU friendly and it can be revised for large scale CUDA core machines like DGX Station A100 or higher versions. Further, also demonstrates and showcases how to create, build and configure dockers for large network model including the support services (J. S, Handling deployment of deep nearnign networks in edge devices, 2018. https://www.jkuse.com/dltrain/deploy-dl-networks/edge-native-service/j7-app ).