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]

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]

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

[wodenokoto]

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

[JPKab]

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

[theviajerock]

Thanks, i will see it, seems very interesting.

[Omnipresent]

Is there a similar tutorial or resource that shows how to do face detection (not recognition) using deep learning. I came across tutorial from kaggle [1] but I'm looking for something that uses ML to detect where the faces are in an image.

[1] - http://danielnouri.org/notes/2014/12/17/using-convolutional-...

[rogeryu]

> If you are not familiar with these ideas, we suggest you go to this Machine Learning course and complete sections II, III, IV (up to Logistic Regression) first.

What is the link to that course?

[thomasrossi]

The group is held by Prof. Ng which has a ML course on coursera https://www.coursera.org/learn/machine-learning - lecture notes of the in class course are here http://cs229.stanford.edu/materials.html (but without the lecture it may be.. without the lecture:))

[SandB0x]

I assume it is http://cs229.stanford.edu/