This shows you the differences between two versions of the page.
Both sides previous revision Previous revision Next revision | Previous revision Last revision Both sides next revision | ||
assignments:assignment6 [2016/11/02 19:38] asa |
assignments:assignment6 [2016/11/06 08:45] asa |
||
---|---|---|---|
Line 3: | Line 3: | ||
==== Assignment 6: Linear Regression with Theano ==== | ==== Assignment 6: Linear Regression with Theano ==== | ||
- | **Due:** November 18th at 11:59pm | + | This assignment is purely optional! |
+ | |||
+ | **Due:** November 28th at 11:59pm | ||
In this assignment you will get your hands dirty with [[http://deeplearning.net/software/theano/| theano]], which is a framework that has been the basis of a lot of work in deep-learning. Writing code in theano is very different than what we are accustomed to. In class you had a taste of it, where we saw how to program [[code:theano|logistic regression]]. | In this assignment you will get your hands dirty with [[http://deeplearning.net/software/theano/| theano]], which is a framework that has been the basis of a lot of work in deep-learning. Writing code in theano is very different than what we are accustomed to. In class you had a taste of it, where we saw how to program [[code:theano|logistic regression]]. | ||
Line 43: | Line 45: | ||
</code> | </code> | ||
- | In your code, follow the standard interface we have used in coding classifiers; the code I have shown for [[code:theano|logistic regression]] gives you most of what you need for the coding part of this assignment. | + | In your code, follow the standard interface we have used in coding classifiers; the code I have shown for [[code:theano|logistic regression]] gives you much of what you need for the coding part of this assignment. |
===== Submission ===== | ===== Submission ===== |