This Repo demonstrates the basics of using Keras and TensorFlow to perform simple deep learning. We perform deep learning using Convoluntial Neural Networks (CNNs) on the MNIST Digit Data and we follow it up by creating a CNN to analyze the multioutput MNIST-Fashion Data set.
We also incorporate Max Pooling to improve our results; and callbacks to allow for early stopping.
Image Citation: https://www.kaggle.com/zalando-research/fashionmnist