Table of Contents

Overview of Neural Networks

A Deeper Dive into Neural Networks

Signal Processing - Data Analysis with Neural Networks

Convolutional Neural Networks

Recurrent Neural Networks

Long Short-Term Memory Networks

Reinforcement Learning with Deep Q-Networks

Autoencoders

Generative Networks

Contemplating Present and Future Developments

About the Author

Niloy Purkait is a technology and strategy consultant by profession. He currently resides in the Netherlands, where he offers his consulting services to local and international companies alike. He specializes in integrated solutions involving artificial intelligence, and takes pride in navigating his clients through dynamic and disruptive business environments.He has a masters in Strategic Management from Tilburg University, and a full specialization in data science from Michigan University. He has advanced industry grade certifications from IBM, in subjects like signal processing, cloud computing, machine and deep learning. He is also perusing advanced academic degrees in several related fields, and is a self-proclaimed lifelong learner.