This a jupyter note book classifies the MNIST-Fashon dataset. It uses convolutional neuralnetworks (CNN). The model is sequential model based on keras using tensorflow as a backened.
This is jupyter notebook is adopted from the Original MNIST dataset (the hand wrriten digit image dataset).
The model Hyperparamters are :
batch_size = 32 nb_classes = 10 nb_ephochs = 50 nb_filters = 32 pool_size = 2 kernel_size = 3
Model Architecture :