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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.gi
by ppymou 11y ago
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/ https://cs231n.github.io/
For natural language processing (RNN)
http://cs224d.stanford.edu/syllabus.html http://cs224d.stanford.edu/syllabus.html
I also found the following coursera helpful
https://www.coursera.org/course/neuralnets https://www.coursera.org/course/neuralnets
https://www.coursera.org/learn/machine-learning https://www.coursera.org/learn/machine-learning
- wodenokoto 11y agoDoes anyone know how to access past courses on coursera if you didn't sign up in a timely manner?
- lopuhin 11y agoI 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 11y agoIt 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 11y agoThanks. I really appreciate it when folks like you on HN post learning materials in the comments.
- Omnipresent 11y agoThese 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 https://www.udacity.com/wiki/ml/GT
- aswanson 11y agoThank you, a lot of the papers in DL/Sparse Coding aren't as clear as the sources you shared.
- theviajerock 11y agoThanks, i will see it, seems very interesting.