The Fashion MNIST Dataset contains 70,000 grayscale samples of different clothing articles. With an External GPU Unit, I wanted to create a neural network & a convolutional neural network in Python to see if I can classify the different clothing sets.
Using Neural Layers with a Sigmoid Activation Function, I got a 0.323 Loss & 0.884 Accuracy.