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Neural Networks


MasterInAI

About This Course

This course will cover the concepts of Neural Networks. It covers from basics to advanced topics in Neural Networks.

The course only contains quizzes and exercises. If you finish them with good grades (80/100)

  • you will be approached by startups for jobs and internships
  • you will be given the certificate for it
  • you will become eligible for advanced courses toward master in AI certificate

Ideally, you will learn from anywhere you like (YouTube, Coursera, EdX, etc) and come here to prove that you learnt something.

Syllabus
  • Introduction
  • Basics of Neural Networks
  • Shallow Neural Networks
  • Deep Neural Networks
  • Practical Aspects of Neural Networks
  • Optimization Algorithms
  • Hyperparameter Tuning, Batch Normalization, Programming Frameworks

Requirements

You should have finished ML001 (Machine Learning Fundamentals) to take this.

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