Podknife - Celebrating episode 50 and the neural net! (Practical AI #50) by Changelog Master Feed

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Celebrating episode 50 and the neural net! (Practical AI #50)

Podcast |: Changelog Master Feed
Publisher |: Changelog Media
Media Type |: audio
Podknife tags |: Business,; Entrepreneurship,; Interview,; Master Feeds,; Software How-To,; Tech News,; Technology,; Web Development
Categories Via RSS |: Technology
Publication Date |: Jul 03, 2019
Episode Duration |: 00:50:54

Description
Content Encoded

Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap. Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!

Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!

Join the discussion

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

Featuring:

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

Show Notes:

Learn more about neural networks with the following learning resources.

Books

“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
“Data Science from Scratch” by Joel Grus
There are literally too many others to name…

Online Courses

fast.ai MOOC
Deep Learning course by Google on Udacity (free)
tensorflow-for-deep-learning-applications.html">Practical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course)
deeplearning.ai Deep Learning Specialization
Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2)
Intro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2)

Websites

Something missing or broken? ai-50.md">PRs welcome!

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