Deep learning

Deep learning associates developments in computing power and special types of neural networks to study complex patterns in huge amounts of data. Deep learning techniques are presently state of the art for identifying objects in images and words in sounds. Researchers now look forward to applying these successes in pattern recognition to more complex tasks such as automatic language translation, medical diagnoses and numerous other important social and business problems.

  • How to build neural networks
  • Convolutional networks
  • RNNs, LSTM, Adam, Dropout, BatchNorm
  • Xavier/He initialization

Related Conference of Deep learning

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 11-12, 2020

Industrial Engineering 2020

Frankfurt, Germany

Deep learning Conference Speakers

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