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Workshop Presenter Abstract Goals
Deep Learning Pooya Mohammadi Kazaj Deep learning is one of the most popular and widely used fields of artificial intelligence, which currently has the most occupations and fields of research. This field is composed of extensive sections, all of which are difficult to recognize and follow not only for newcomers, but also for experts at the same time. In this workshop, our goal is to cover different sections, review the advantages and disadvantages of different models and reasons for each model during It's time. Finally, the research and industrial areas of each section will be introduced and their libraries and implementation frameworks will be reviewed accordingly. 1. Introduction of artificial intelligence and the place of deep learning
2. Review and introducing of various areas of deep learning, including machine vision, natural language and sound processing, GAN models and deep reinforcement learning systems
3. Study of the evolution of models, libraries and frameworks
4. Investigating the future of the mentioned fields in industry and research sectors

Important Dates

  • Submission Deadline: November 30, 2020  December 20, 2020  (Anywhere on Earth)
  • Notification: February 3, 2021
  • Final Papers Due: February 13, 2021
  • Paper Registration: February 18, 2021
  • Conference: March 3-4, 2021