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

Related Conference of Deep Learning Frameworks

June 21-22, 2021

38th Global Summit on Nanoscience and Technology

Osaka, Japan
August 02-03, 2021

International Conference on Robotics

Zurich, Switzerland
August 02-03, 2021

International Congress on AI and Machine Learning

Zurich, Switzerland
September 21-22, 2021

Global Summit on Computer Science and data management

Sakai, Australia
November 10-11, 2021

International Conference on Artificial Intelligence & Robotics

Amsterdam, Netherlands
November 22-23, 2021

8th Global Meet on Wireless and Satellite Communications

Munich, Germany
December 06-07, 2021

2nd International Conference on Microfluidics

Rome, Italy
December 13-14, 2021

International Conference on Microfluidics & Bio-MEMS

Tokyo, Japan

Deep Learning Frameworks Conference Speakers

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