0:00-50:55
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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!
Featuring:
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
Upcoming Events:
- Register for upcoming webinars here!
Website
chrisbenson.comGitHub
github.comLinkedIn
linkedin.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.com“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
deeplearningbook.org“Data Science from Scratch” by Joel Grus
learning.oreilly.comfast.ai MOOC
course.fast.aiDeep Learning course by Google on Udacity (free)
eu.udacity.comdeeplearning.ai Deep Learning Specialization
deeplearning.aiMicrosoft AI School
aischool.microsoft.comTensorFlow 2 Docs
tensorflow.orgAmazon Machine Learning Training
aws.amazon.comPyTorch
pytorch.orgFacebook AI
ai.facebook.comGoogle AI
ai.googleupcoming webinars here
practicalai.fm
