We give an overview of recent exciting achievements of deep reinforcement learning (RL). We start with background of deep learning and reinforcement learning, as well as introduction of testbeds. Next we discuss Deep Q-Network (DQN) and its...
Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into...
In my teaching both at the University of Washington and at various tech-focused conferences and meetups, one of the most common questions I have heard is this:
“how should I learn Python?” The people asking are generally technically minded...