This series of blog posts aims to provide an intuitive and gentle introduction to deep learning that does not rely heavily on math or theoretical constructs. The first part in this series provided an overview over the field of deep learning, covering fundamental and core concepts. In this second part, we look briefly into the
Recent advances in deep learning have enabled research and industry to master many challenges in computer vision and natural language processing that were out of reach until just a few years ago. Yet computer vision and natural language processing represent only the tip of the iceberg of what is possible. In this article, I will demonstrate
Four robot mini-cars. A complex network of tunnels. A race against the clock. This was the final test crafted by an MIT professor for what could be the greatest college class ever.
Despite the course title’s tortuous name — Rapid Autonomous Complex-Environment Competing Ackermann-steering Robot — its acronym, RACECAR, gets students’ curiosity revving.
The students’ challenge: Build a self-driving mini-robot car that can zip around a tunnel maze track while navigating its twists and turns.
Chariot is a couch co-op platformer that can be played alone or with a friend. Players take the role of the brave Princess or her faithful Fiancé as they maneuver the departed king’s coffin-on-wheels through 25 levels set in 5 vibrant underground environments, with his majesty’s ghost giving them a piece of his mind every step of the way.