On: Unsupervised Feature Learning and Deep Learning Tutorial

[ppymou]

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

[Omnipresent → ppymou]

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

[aswanson → ppymou]

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

[wodenokoto → ppymou]

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

[lopuhin → wodenokoto]

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.

[aethertap → wodenokoto]

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.

[JPKab → ppymou]

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

[theviajerock → ppymou]

Thanks, i will see it, seems very interesting.