This is just a example to train Fashion-MNIST by Convolutional Neural Network for learning TensorFlow 2.0.
- This is an assignment of Deep Learning basic class arranged a little.
- Training Fashion-MNIST by CNN on Google Colaboratory with TensorFlow 2.0 Alpha.
- Data is augmented by ImageDataGenerator of Keras and the effectiveness of data augmentation is shown.
Fashion-MNIST-by-CNN-with-data-augmentation.ipynb file can not be opened correctly, I'm not sure about the reason though. However, you can see the code in Google Colaboratory. So please take a look at How-to-open-ipynb-on-Google-Colaboratory and open it in Google Colaboratory.
This dataset can be found here.
4 Layer CNN with Max Pooling, Batch Normalization and Dropout.
- with Data Augmentation
92.2% after training in 80 epochs - witout Data Augmentation
91.8% after training in 80 epochs
Please take a look at How-to-open-ipynb-on-Google-Colaboratory.