/MNIST

Neural Networks for obtaining high levels of accuracy in minimal code on the MNIST digit data and MNIST fashion dataset. We also utilize callbacks for early stopping.

Primary LanguagePython

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.

What is this

What is this

Image Citation: https://www.kaggle.com/zalando-research/fashionmnist