Building reinforcement learning models requires you to write effective reward functions. Get tips and tricks for crafting better reward functions.
Mark Hammond highlights how enterprises can think about using deep reinforcement learning technology in real world applications.
In this third approach to AI explainability, Mark Hammond highlights machine teaching and recomposability
The state of building explainable artificial intelligence models using 2 model induction techniques, from Mark Hammond’s 2017 O’Reilly AI presentation
Mark Hammond details why it's so important to get explainable AI right. Learn how research into machine learning systems provides critical insight.
Listen to Bonsai CEO Mark Hammond’s presentation on explainable AI and machine teaching from the 2017 O’Reilly AI conference in New York.
Bonsai’s Mark Hammond talks deep reinforcement learning and challenges in the GPU era. Get the GTC recap and watch a video of the live presentation
Bonsai CEO, Mark Hammond talks “AI for Everyone” at the O’Reilly AI Conference & how Bonsai is harnessing abstraction to unlock AI for every developer