Speaker: Richard Page
Topic: Grokking "Deep" Reinforcement Learning with "just enough" math
Let's get together to lift the veil, peer behind the curtain, and generally attempt to understand what makes a machine learning algorithm "deep". We will discuss the math and mechanics behind "hill climbing" reinforcement and what it takes to go from a simple linear neural network to the "deep" networks used by Google and others at the state-of-the-art.
Important to know
All are welcome. We're a friendly, fun group. We're all for ideas, value, and information sharing. But please, no hard selling.
Pizza and location sponsor: Jacquette Consulting