Lastly, our assignments (that walk you through implementing a Softmax/SVM classifier and Neural Networks and ConvNets in Python+numpy) are all on terminal.com. Terminal.com lets us set up a VM in the browser: You visit the assignment URL, fork the snapshot, and you can work right away on the assignment in your browser on an IPython Notebook: the data is there, all dependencies are already installed, and everything ready to go. We're also working with terminal.com right now to get access to GPU machines soon, which will let us set up assignments that use Caffe and efficient GPU code, etc.
Our syllabus is here: http://cs231n.stanford.edu/syllabus.html where you can also find lecture slides, which have some more information.
Lastly, our assignments (that walk you through implementing a Softmax/SVM classifier and Neural Networks and ConvNets in Python+numpy) are all on terminal.com. Terminal.com lets us set up a VM in the browser: You visit the assignment URL, fork the snapshot, and you can work right away on the assignment in your browser on an IPython Notebook: the data is there, all dependencies are already installed, and everything ready to go. We're also working with terminal.com right now to get access to GPU machines soon, which will let us set up assignments that use Caffe and efficient GPU code, etc.