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

November 19-20, 2018

Global Expo on Computer Graphics & Animation

| Tokyo, Japan
November 22-23, 2018

9th World Congress on Optics, Photonics and Telecommunication

Bucharest | Romania
November 29-30, 2018

9th Euro Biosensors & Bioelectronics Congress

Dublin, Ireland
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
June 10-11, 2019

3rd World Congress on Wind & Renewable Energy

Barcelona,Spain
June 20-21, 2019

Building Materials & Construction Technologies

| Stockholm, Sweden
September 16-17, 2019

8th International Conference on Biostatistics and Bioinformatics

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 23-24, 2019 |

12th International Conference & Exhibition on Biosensors & Bioelectronics

Vancouver | British Columbia | Canada

Deep Learning Conference Speakers

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