Evan Otero & Shikun (Jason) Wang
Classifying images from the CIFAR-10 dataset using a convolutional neural network. The images need to be normalized and the labels need to be one-hot encoded. The project will require building a convolutional, max pooling, dropout, and fully connected layers. At the end, we will see our neural network's predictions on the sample images.
#ResNet Model #[ResNet-50] (http://ethereon.github.io/netscope/#/gist/db945b393d40bfa26006)
https://github.com/udacity/deep-learning/tree/master/image-classification