Part of Andrew Ng's deep learning specialization on Coursera, covering neural network fundamentals including feedforward networks, backpropagation, and training deep models. It follows the machine learning course in the sequence.

Commenters call it a good beginner-friendly path into deep learning, with the math taught alongside the material.

What commenters said (2)

1. Recommendsbinarymax2017in “Ask HN: Best way to get started with AI?”

   I highly recommend Andrew Ng's Coursera courses for both Machine Learning and Deep Learning. Good for beginners, Math is taught along with the course, and gets you a solid foundation:

   https://www.coursera.org/learn/machine-learning/

   https://www.coursera.org/learn/neural-networks-deep-learning...

2. Mentionscodesushi422019in “The beauty of functional languages in deep learning – Clojure and Haskell”

   See Udacity's course on parallel programming:

   https://www.youtube.com/watch?v=F620ommtjqk&list=PLGvfHSgImk...

   I don't think it touches upon ML, but it is relevant for understanding the difference between GPUs and CPUs. You can go through the intro to backprop lectures on deeplearning.ai for ML.

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