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Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

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Convolutional Neural Networks for Visual Recognition

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course.

Course Materials

Helpful Resources

Andrej Karpathy's blog

Andrew Trask's blog

Christopher Olah's blog on Neural Networks

Convolutional neural networks

Backpropagation and batchnorm regularization

How Convolutional Neural Networks Work

Make Your Own Neural Network

Student Solutions

A place for students to share code, double check their work and troubleshoot problems.

Honor Code

We ask that you not look at this section unless you have finished the assignment or have spent quality time figuring out the problem. Out of respect for Stanford releasing their class to the public, please do not abuse this policy. Try your best to figure out the solutions on your own, read the Reddit forms, or ask questions on our Slack channel before looking at solution code. Personally, I like to spend a few days trying to figure something out before looking at solution code.

Contributions

If you have finished the assignment, we hope you can add your answers to the repository for other students. If you choose to do so, please fork the repo and add a folder with your alias and put the assignments inside your folder. Always do a git pull before you do a git push so that there are no merge conflicts

git clone https://github.com/machinelearningnanodegree/stanford-cs231.git
cd stanford-cs231/solutions
mkdir yourdirectoryname

Copy the assignment1 into yourdirectoryname
cd /stanford-cs231/
cp -R /stanford-cs231/assignments/assignment1 /stanford-cs231/solutions/yourdirectoryname/assignment1
If there is no directory called assignment1 in your directory it will be automatically created with above

Download the dataset by:
cd yourdirectoryname/assignment1/cs231n/datasets
run ./get_datasets.sh inside the datasets directory

After everything is downloaded
cd into the assignment1 directory backwards 
and then run ipython notebook

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Thanks to Contributors: kvn219, LevinJ, pranayaryal, & vijendra-rana

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Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

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