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

October 23-24, 2019

11th Euro Biosensors & Bioelectronics Congress

Hotel Roma Aurelia Antica
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6th World Machine Learning and Deep Learning Congress

Helsinki, Finland
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12th International Conference & Exhibition on Biosensors & Bioelectronics

| Vancouver | British Columbia | Canada
November 18-19, 2019

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1st International Summit on Industrial Engineering

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