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DeepRacer: Home

Learning at WAB is a transformative process which is intentional and iterative, challenging and joyful, and serves an authentic purpose

WAB Definition of Learning

DeepRacer - Machine Learning & Autonomous Cars

At WAB we have a DeepRacer club and activities during some Day 9 blocks. This is an opportunity for students in Middle School and above to try the concepts of reinforcement learning models as they develop models to train agents. You can find our more below. The Student League platform includes short courses on machine learning, as well as up to 10 hours a month of cloud computing time to train the model. 

DeepRacer Intro Slides by Stephen Taylor


Key Definitions

A great place to start in understanding the differences between AI, ML and DL is this article at Beyond Data Science

Defining AI

"AI enables the machine to think, that is without any human intervention the machine will be able to take its own decision. It is a broad area of computer science that makes machines seem like they have human intelligence."

Defining ML

"Machine Learning is a subset of Artificial Intelligence that uses statistical learning algorithms to build systems that have the ability to automatically learn and improve from experiences without being explicitly programmed."

Defining DL

"Deep learning is a machine learning technique that is inspired by the way a human brain filters information, it is basically learning from examples. It helps a computer model to filter the input data through layers to predict and classify information."