Deep Learning Frameworks

Deep Learning belongs to field of Machine Learning which deals with the building blocks for designing, training and validating deep neural networks. It depends on a set of algorithms that attempt to model high-level abstractions in data by using multiple processing layers, with complex. It can be able to solve more complex problems and perform greater tasks. Deep Learning Framework is a basic supporting essential structure that assists with making the unpredictability of DL little easier.

  • TensorFlow
  • PyTorch
  • Keras
  • Sonnet
  • MXNet
  • Gluon

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Deep Learning Frameworks Conference Speakers

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