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        <description>Assignment 0

DUE: Tuesday, October 4, 2016

The goal of assignment 0 is to ensure that you have piazza setup correctly, and to have you make your first post

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Piazza Signup

You can enroll into the class Piazza by following this link: &lt;https://piazza.com/ucr/fall2016/csee217/home&gt;

----------</description>
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        <description>Final Project

DUE: Monday, December 5, 2016

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Overall description

The project structure was described in the project kickoff class. There are two flavors (programming and architecture) and two tracks (research or non-research).

Project Flavors</description>
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CUDA Programming Project

Backpropagation

Max group size: 2 

A basic learning technique used to train multi-layer neural networks is backpropagation. 

Backpropagation consist of two phases: 

1) Forward propagation of input through NN and calculate error of output vs desired value, and</description>
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