GANs, RL, and transfer learning oh my! (Practical AI #47)

Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!

Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!

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Featuring:

Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel Whitenack – Twitter, GitHub, Website

Show Notes:

SUBSCRIBE ~> Brain Science — For the curious! We’re exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human.

RL (Reinforcement learning)

Good overview article
Human-level performance in Quake III–Capture the Flag
Practical AI episode about Deep Reinforcement Learning
Practical AI episode about OpenAI, reinforcement learning, robots, and safety
PyTorch RL tutorial

GANs (Generative Adversarial Networks)

Good overview article
This is not a person website
Christie’s AI art auction
OpenAI Generative models
TensorFlow GAN tutorial

Transfer learning

Good overview article
Forbes article on Google AutoML
Practical AI episode on BERT
Practical AI episode on GPT-2
How to build a State-of-the-Art Conversational AI with Transfer Learning

-NAACL workshop on transfer learning for NLP

Something missing or broken? PRs welcome!