CS-498 Applied Machine Learning - Homework 8

CS-498 Applied Machine Learning

D.A. Forsyth --- 3310 Siebel Center

daf@uiuc.edu, daf@illinois.edu

13:00 - 14:15 OR 1.00 pm-2.15 pm (in old fashioned time)
1404 Siebel Center


Tanmay Gangwani gangwan2@illinois.edu

Jiajun Lu jlu23@illinois.edu

Jason Rock jjrock2@illinois.edu

Anirud Yadav ayadav4@illinois.edu

Office Hours

DAF Mon - 14h00-15h00, Fri - 14h00-15h00

or swing by my office (3310 Siebel) and see if I'm busy

Evaluation is by: Homeworks and take home final.

I will shortly post a policy on collaboration and plagiarism





Homework 9: Due 8 May 2017 23h59 (Mon; midnight)


You should do this homework in groups of up to three; details of how to submit have been posted on piazza. You must use tensorflow.


Details and description subject to minor changes

This homework is optional, and is intended for remission of sins (i.e. if some other homework was submitted late, went bad, got eaten by the dog, etc.).


Denoising autoencoders: We will evaluate stacked denoising autoencoders applied to the MNIST dataset. Variational autoencoders: We will evaluate variational autoencoders applied to the MNIST dataset.