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!
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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
- Microsoft AI School
- TensorFlow 2 Docs
- Amazon Machine Learning Training
- PyTorch
- Facebook AI
- Google AI
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Creators & Guests
What is Practical AI?
Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).
The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!