Recently Kaggle hosted a?competition?on the?CIFAR-10 dataset. The CIFAR-10 dataset consists of 60k 32x32 colour images in 10 classes. This dataset was collected by?Alex
Krizhevsky,?Vinod Nair, and?Geoffrey Hinton.

Many contestants used convolutional nets to tackle this competition. Some resulted in scores that beat human performance on this classification task. In this blog series we will interview three contestants and also a founding father of convolutional nets:?Yann LeCun.

EXAMPLE OF CIFAR-10 DATASET