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

September 18-19, 2019

8th International Conference on Biostatistics & Bioinformatics

San Francisco, USA
September 25-26, 2019

6th International Conference and Expo on Computer Graphics & Animation

| Toronto | Ontario | Canada
October 23-24, 2019

11th Euro Biosensors & Bioelectronics Congress

Rome, Italy
October 24-25, 2019

6th World Machine Learning and Deep Learning Congress

Helsinki, Finland
October 25-26, 2019

12th International Conference & Exhibition on Biosensors & Bioelectronics

| Vancouver | British Columbia | Canada
December 2-3, 2019

Global Animation and Multimedia Conference

Manila, Philippines
February 24-25, 2020

10th World Congress on Biosensors and Bioelectronics

Zurich, Switzerland
May 21-22,2020 London ,UK

Humanoid Robotics,Artificial intelligence and Automation

London ,UK

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