Using Jupyter Notebook, I created a two layer convolutional neural network for MNIST digits (recognizing handwritten digits from 0-9) and for CIFAR-10, a database of images for 10 generic objects (airplane, ship, cat, etc).
I then applied this for a new data-base for fashion related objects such as shoes and t-shirts.
Over multiple epochs of training, I eventually achieved an accuracy of 97.4%.