Handouts and Enrollment information


Doing research in machine learning can be challenging! Consequently, we will be able to work with only a small number of students, and enrollment will be limited. If you are already involved in AI research, or if you already have experience with deep learning algorithms (for example, if you had previously already implemented a sparse autoencoder), you may be exempt from these requirements. Please contact Prof. Ng if you would like to be considered for an exemption.


You can also watch Lecture video 1 and Lecture video 2 on this material. (These videos from last year are on a slightly different version of the sparse autoencoder than we're using this year.)

Update: After watching the videos above, we recommend also working through the Deep learning and unsupervised feature learning tutorial, which goes into this material in much greater depth.

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