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Exploring deep reinforcement learning

Exploring deep reinforcement learning

FromPractical AI: Machine Learning, Data Science


Exploring deep reinforcement learning

FromPractical AI: Machine Learning, Data Science

ratings:
Length:
41 minutes
Released:
Feb 1, 2022
Format:
Podcast episode

Description

In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.
Released:
Feb 1, 2022
Format:
Podcast episode

Titles in the series (100)

Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!