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I think you are talking about Andrew Ng's course.

I completed it and can't recommend it more highly. It is a really excellent, dense course and Ng is a very good teacher.

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

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Geoffrey Hinton's archived course is all about neural nets, I think you can enroll in the archived version, no code, just theory.

https://www.coursera.org/course/neuralnets

I've completed the course as well - have you used any of the knowledge from it on anything in particular after you completed the course?

I'm taking the Coursera course right now. The course page at Stanford has a lot of student projects. The breadth of applications is pretty huge, definitely worth a check if you're looking for an idea.

http://cs229.stanford.edu

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