Skip to content

Latest commit

 

History

History
26 lines (16 loc) · 853 Bytes

README.md

File metadata and controls

26 lines (16 loc) · 853 Bytes

MNIST-Fashion-CNN

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 :

model_summary

Resulut:

result

accuracy_loss