Celebrating episode 50 and the neural net!
Practical AI: Machine Learning, Data Science
English - July 03, 2019 11:00 - 50 minutes - 70 MB - ★★★★★ - 37 ratingsTechnology Education How To changelog machine learning deep learning artificial intelligence neural networks computer vision Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
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!
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!
Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today!
Featuring:
Chris Benson – Twitter, GitHub, LinkedIn, WebsiteDaniel 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)
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
Microsoft AI School
TensorFlow 2 Docs
Amazon Machine Learning Training
PyTorch
Facebook AI
Google AI
Something missing or broken? PRs welcome!