Deep Learning

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.

There are 4 major types of Deep Learning:

  • Unsupervised pretrained networks (UPNs)
  • Convolutional neural networks (CNNs)
  • Recurrent neural networks
  • Recursive neural networks

Related Conference of Deep Learning

Jan 30-31, 2019

World Congress on Wireless Technology

Osaka , Japan
April 15-16, 2019

6th Global Meet on Wireless, Aerospace & Satellite Communications

| Amsterdam, Netherlands
May 17-18, 2019

10th World Congress on Biosensors and Bioelectronics

Mercure Singapore on Stevens, Singapore
June 10-11, 2019

3rd World Congress on Wind & Renewable Energy

Barcelona,Spain
June 10-11, 2019

3rd World Congress on Wind & Renewable Energy

Barcelona,Spain
June 20-21, 2019

Building Materials & Construction Technologies

| Stockholm, Sweden

6th International Conference on Steel and Concrete Structures

July 29-30, 2019 | Mercure albert park | Melbourne, Australia
September 18-19, 2019

8th International Conference on Biostatistics & Bioinformatics

San Francisco, USA
September 18-19, 2019

8th International Conference on Big Data Analytics & Data Mining

San Francisco, USA
September 25-26, 2019 |

6th International Conference and Expo on Computer Graphics & Animation

Toronto | Ontario | Canada
October 14-15, 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

Deep Learning Conference Speakers

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