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% | 


