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Thanks for this. Was taking Andrew Ng's course but the way he glosses over the calculus and then expects the student to understand the implications at end of lecture was a turn off so I dropped it. I hated the feeling I wasn't learning, just memorizing solutions.

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You might prefer the approach at http://course.fast.ai - all the concepts are taught with code, instead of math, and understanding is developed by running experiments.

I did both and found fast.ai so much easier to understand for someone without a background in math, like me.

I've taken 3/5 of his Deep Learning MOOC and thought the calculus, at least its implementation, was very well explained. Were you dissatisfied with the lack of depth or lack of explanation? Just curious.

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