Hands-On Machine Learning for Algorithmic Trading

AlexNet and CIFAR10 with Keras

Fast-forward to 2012, and we move on to the deeper, and more modern, AlexNet architecture. We will use the CIFAR10 dataset that uses 60,000 ImageNet samples, compressed to 32 x 32 pixel resolution (from the original 224 x 224), but still with three color channels. There are only 10 of the original 1,000 classes. See the cifar10_image_classification notebook for implementation details; we will skip over some repetitive steps.