Course Prerequisites:

●      Fundamentals of Artificial Intelligence

●      Machine Learning Basics

●      Linear Algebra and Probability

●      Python Programming

Learning Objectives:

• Understand the fundamentals of Deep Learning and Neural Networks.

• Understand training methodologies and optimization techniques for deep networks.

• Explore Reinforcement Learning concepts and applications.

Textbooks:

• M. Arif Wani, Farooq Ahmad Bhat, Saduf Afzal, Asif Iqbal Khan, Advances in Deep Learning, Springer, 2020.

• Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning, MIT Press, 2016.

• Charu C. Aggarwal, Neural Networks and Deep Learning, Springer, 2018.