Chapter 3
Deep Learning with Convolutional Networks
Section 2
Recognizing CIFAR-10 Images with Deep Learning
The CIFAR-10 dataset contains 60,000 color images of 32 x 32 pixels in 3 channels divided into 10 classes. Each class contains 6,000 images. The training set contains 50,000 images, while the test sets provides 10,000 images. - Recognize previously unseen images and assign them to one of the 10 classes - Improve the CIFAR-10 performance with deeper a network - Improve the CIFAR-10 performance with data augmentation