assignment2.md.txt - layout page mathjax true permalink\/assignments2015\/assignment2 In this assignment you will practice writing backpropagation code

assignment2.md.txt - layout page mathjax true...

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--- layout: page mathjax: true permalink: /assignments2015/assignment2/ --- In this assignment you will practice writing backpropagation code, and training Neural Networks and Convolutional Neural Networks. The goals of this assignment are as follows: - understand **Neural Networks** and how they are arranged in layered architectures - understand and be able to implement (vectorized) **backpropagation** - implement the core parameter update loop of **mini-batch gradient descent** - effectively **cross-validate** and find the best hyperparameters for Neural Network architecture - understand the architecture of **Convolutional Neural Networks** and train gain experience with training these models on data ## Setup You can work on the assignment in one of two ways: locally on your own machine, or on a virtual machine through [Terminal](). ### Working locally **Get the code:** [Download the starter code here] (). **[Optional] virtual environment:** Once you have unzipped the starter code, you might want to create a [virtual environment]()

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