Deep Reinforcement Learning is a rapidly growing field at the intersection of machine learning and robotics, and through this project, you will have the chance to implement deep reinforcement learning agents yourself!  We will implement this project using TensorFlow-Agents, a powerful library for training agents to solve tasks such as getting a Half-Cheetah to walk, balancing an Inverted Pendulum, or teaching a car to race autonomously (all in simulation).

Training a Deep Reinforcement Learning Agent with TensorFlow Agents and OpenAI Gym!

Ever wondered how fingerprint scanners work?  In this project, we will study and implement some ways in which fingerprints can be detected and identified using deep learning (implemented through Kerasin Python) and classical computer vision techniques Iimplemented through OpenCV in Python).

Fingerprint Classification and Pattern Recognition in Keras

Fast and accurate vision is a crucial component for the successful adoption of autonomous vehicles as a widespread technology.  In this project, we will use Python and PyTorch, a deep learning library, to segment different objects using RGB cameras and lidar sensors!