CS-498 Applied Machine Learning - Homework 8


CS-498 Applied Machine Learning

D.A. Forsyth --- 3310 Siebel Center

daf@uiuc.edu, daf@illinois.edu

15:30 - 16:45 OR 3.30 pm-4.45 pm, in old money
1320 Digital Computer Laboratory


Mariya Vasileva mvasile2@illinois.edu

Sili Hui silihui2@illinois.edu

Daeyun Shin dshin11@illinois.edu

Ayush Jain ajain42@illinois.edu

Office Hours:

Ayush Fri - 14h00-16h00 or 2-4 pm, location: in front of 3304

Daeyun Thu - 11h00-13h00 or 11 am-1 pm location: 0207 Siebel/p>

Mariya Wed - 15h00-17h00 or 3 - 5 pm location: 0207 Siebel

Sili Thur - 12h00-14h00 or 12 - 2 pm location: 0207 Siebel

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 8: Due 4 May 2016 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


Convolutional neural networks: Tensorflow is an environment for building, among other things, neural networks. You can build multilayer networks; convolutional layers; and residual networks using tensorflow. There is a tool called tensorboard, which will display the progress of learning.