assignments:assignment6
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| ==== Assignment 6: Linear Regression with Theano ==== | ==== Assignment 6: Linear Regression with Theano ==== | ||
| + | |||
| + | This assignment is purely optional! | ||
| **Due:** November 18th at 11:59pm | **Due:** November 18th at 11:59pm | ||
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| We'll consider a simpler loss function: | We'll consider a simpler loss function: | ||
| $$\log \cosh (h(\mathbf{x}) - y) ),$$ | $$\log \cosh (h(\mathbf{x}) - y) ),$$ | ||
| - | called the Log-Cosh loss. Recall that $\cosh(z) = \frac{\exp{z} + \exp{-z}}{2}$. | + | called the Log-Cosh loss. Recall that $\cosh(z) = \frac{\exp{(z)} + \exp{(-z)}}{2}$. |
| What you need to do for this assignment: | What you need to do for this assignment: | ||
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| </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 ===== | ||
assignments/assignment6.txt ยท Last modified: 2016/11/06 08:47 by asa
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