Practical AI

Celebrating episode 50 and the neural net!

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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!

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Featuring:

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

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!

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