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

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

Deep Learning Conference Speakers

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