Trained a Keras implementation CapsNet in the paper:
Sara Sabour, Nicholas Frosst, Geoffrey E Hinton. Dynamic Routing Between Capsules. NIPS 2017
on Fashion-MNIST dataset for 90 epochs.
The Keras model is built by XifengGuo Repo
Fashion-MNIST is a dataset of Zalando's article images—consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.
Here's an example how the data looks (each class takes three-rows):
Each training and test example is assigned to one of the following labels:
Label | Description |
---|---|
0 | T-shirt/top |
1 | Trouser |
2 | Pullover |
3 | Dress |
4 | Coat |
5 | Sandal |
6 | Shirt |
7 | Sneaker |
8 | Bag |
9 | Ankle boot |
After training for 90 epochs on Google Colab platform on Fashion MNIST dataset:
Type | Validation Accuracy | Training Accuracy |
---|---|---|
Best | 92.65% | 94.85% |
Final | 92.48% | 94.75% |