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For anyone interested, I have been really interested in deep learning and have been using the following resources:

For image processing (CNN) https://cs231n.github.io/

For natural language processing (RNN) http://cs224d.stanford.edu/syllabus.html

I also found the following coursera helpful https://www.coursera.org/course/neuralnets https://www.coursera.org/learn/machine-learning

These are great resources. There is also a ML class offered by Georgia Tech at Udacity under the OMSCS program. https://www.udacity.com/wiki/ml/GT

Thank you, a lot of the papers in DL/Sparse Coding aren't as clear as the sources you shared.

Does anyone know how to access past courses on coursera if you didn't sign up in a timely manner?

I think you just sign in and click on a big green button "Go to Course" on the right - at least it worked for me with neuralnets course by Hinton, which is really great.

It depends on the course, some courses are kept available and others are shut down after the action is over. I think the choice is left up to the instructors. I started downloading all of the videos when I sign up for a course for this reason actually, because I tend to go through them too slowly to finish with the main group.

Thanks. I really appreciate it when folks like you on HN post learning materials in the comments.

Thanks, i will see it, seems very interesting.

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