June 11, 2019

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

51 minutes

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 – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

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!

...more

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By Changelog Media

4.4

2929 ratings

June 11, 2019

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

51 minutes

Join the discussion

Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!

Sponsors:

DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $50 credit. Learn more at do.co/changelog.

GitPrime – Download GitPrime’s 20 Patterns book, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data.

Featuring:

Chris Benson – Website, GitHub, LinkedIn, X
Daniel Whitenack – Website, GitHub, X

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