Deep Learning A-Z™: Hands-On Artificial Neural Networks Online Course

Deep Learning A-Z™: Hands-On Artificial Neural Networks Online Course
Deep Learning A-Z™: Hands-On Artificial Neural Networks Online Course

Artificial intelligence is growing exponentially. There is no doubt about that. Self-driving cars are clocking up millions of miles, IBM Watson is diagnosing patients better than armies of doctors and Google Deepmind's AlphaGo beat the World champion at Go - a game where intuition plays a key role.

But the further AI advances, the more complex become the problems it needs to solve. And only Deep Learning can solve such complex problems and that's why it's at the heart of Artificial intelligence.

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Who this course is for:

  • Anyone interested in Deep Learning

  • Students who have at least high school knowledge in math and who want to start learning Deep Learning

  • Any intermediate level people who know the basics of Machine Learning or Deep Learning, including the classical algorithms like linear regression or logistic regression and more advanced topics like Artificial Neural Networks, but who want to learn more about it and explore all the different fields of Deep Learning

  • Anyone who is not that comfortable with coding but who is interested in Deep Learning and wants to apply it easily on datasets

  • Any students in college who want to start a career in Data Science

  • Any data analysts who want to level up in Deep Learning

  • Any people who are not satisfied with their job and who want to become a Data Scientist

  • Any people who want to create added value to their business by using powerful Deep Learning tools

  • Any business owners who want to understand how to leverage the Exponential technology of Deep Learning in their business

  • Any Entrepreneur who wants to create disruption in an industry using the most cutting edge Deep Learning algorithms

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What you are learn

  • Understand the intuition behind Artificial Neural Networks

  • Apply Artificial Neural Networks in practice

  • Understand the intuition behind Convolutional Neural Networks

  • Apply Convolutional Neural Networks in practice

  • Understand the intuition behind Recurrent Neural Networks

  • Apply Recurrent Neural Networks in practice

  • Understand the intuition behind Self-Organizing Maps

  • Apply Self-Organizing Maps in practice

  • Understand the intuition behind Boltzmann Machines

  • Apply Boltzmann Machines in practice

  • Understand the intuition behind AutoEncoders

  • Apply AutoEncoders in practice

Requirements

 

  • High school mathematics level
  • Basic Python programming knowledge