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Part 1 : Introduction to deep learning
By: Ouail Bendidi

$300.00


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  •    DURATION: 2h 00min
  •  LANGUAGE: English
  •  EXPERTISE LEVEL: Advanced
  •  CATEGORY: Artifical Intelligence

Online Course Description

This first class will be a gentle introduction to deep learning , starting from a brief brush up on some necessary mathematical knowledge ( simple math, nothing scary), we will delve deeper into the theory of neural network , how they work and how they LEARN, this will be mostly a preparatory course to prepare for the more exciting stuff in the next classes !

WHAT YOU WILL GET

  • Live video call and screen sharing with Ouail Bendidi
  • Schedule a call at a time convenient for you
  • Prior to session you will be able to get in touch with Ouail Bendidi to explain your background and what you are trying to achieve
  • Prior to session, Ouail Bendidi will provide list of resources and materials needed to prepare for session
  • You will be able to cancel a class and get a refund up to 24h before the scheduled session
  • Moneyback guarantee

Part 1 : Introduction to deep learning

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Ouail Bendidi

Nantes, France | Member since May 22, 2017
Artificial Intelligence is no longer a product of science fiction ,it is becoming more and more a reality. As an active Artificial Intelligence engineer , I have a great amount of knowledge to share about this exciting field. I started my studies in computer science, then followed with a specialization in Data science and machine learning specifically. Later on I moved to deep learning , to harness the power of deep neural networks and GPU to create truly intelligent and autonomous pieces of software that are capable of amazing stuff , such as learning to write story's and essays, to compose music ,to play games,to detect objects or describe images.... In the courses that I propose I will teach you step by step how to create such systems, how they work, and how to apply them in either personal project or business.
Artificial Intelligence Python Python Developer Data Science Machine Learning


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