Deep Learning Frameworks

Deep Learning is a subset of Machine Learning which deals with deep neural networks. It is based on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex structures or otherwise, composed of multiple non-linear transformations. Deep Learning is able to solve more complex problems and perform greater tasks. Deep Learning Framework is an essential supporting fundamental structure that helps to make complexity of DL little bit easier. There are top 10 deep learning frameworks:

 

  • Tensorflow
  • Theano
  • Keras
  • Caffe
  • Torch
  • Deeplearning4j
  • MXNet
  • Microsoft Cognitive Toolkit
  • Lasagne
  • BIgDL

Related Conference of Deep Learning Frameworks

November 09-10, 2020

2nd World Congress on Robotics and Automation

Amsterdam, Netherlands
November 19-20, 2020

World Microfluidics Congress

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2nd International Conference on Wireless Technology

Abu Dhabi, UAE
February 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
March 15-16, 2021

International Summit on  Industrial Engineering

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy

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