Alex Krizhevsky

(Mar 2013-Sep 2017) At Google in Mountain View, California.
My email:

If you are looking for the CIFAR-10 and CIFAR-100 datasets, click here.

Code (very outdated stuff)

Here's some CUDA/C++ code that I wrote. The descriptions here are rather skimpy, so email me if you need help getting any of it to run.

For GTX 580-class GPUs (compute capability > 2.0):

For GTX 280-class GPUs (compute capability 1.3):

Note: this code was written for GTX 280-class GPUs. Parts of it may not work on current-generation GPUs.


2012 Krizhevsky, A., Sutskever, I. and Hinton, G. E.
ImageNet Classification with Deep Convolutional Neural Networks
NIPS 2012: Neural Information Processing Systems, Lake Tahoe, Nevada
Figures from this paper if you want to use them in your book/article/presentation/whatever. No need to ask permission.
2011 Hinton, G. E., Krizhevsky, A. and Wang, S.
Transforming Auto-encoders
ICANN-11: International Conference on Artificial Neural Networks, Helsinki
2011 Krizhevsky, A. and Hinton, G.E.
Using Very Deep Autoencoders for Content-Based Image Retrieval
European Symposium on Artificial Neural Networks ESANN-2011, Bruges, Belgium
2010 Krizhevsky, A.
Convolutional Deep Belief Networks on CIFAR-10
Unpublished manuscript
2010 Ranzato, M., Krizhevsky, A. and Hinton, G. E.
Factored 3-way restricted Boltzmann machines for modeling natural images
Proc. Thirteenth International Conference on Artificial Intelligence and Statistics

MSc thesis