In this chapter, we will learn how to implement capsule networks on the Fashion MNIST dataset. This chapter will cover the inner workings of capsule networks and explain how to implement them in TensorFlow. You will also learn how to evaluate and optimize the model.
We have chosen capsule networks because they have the ability to preserve the spatial relationships of images. Capsule networks were introduced by Geoff Hinton, et al. They published a paper in 2017 that can be found at https://arxiv.org/abs/1710.09829. Capsule networks gained immense popularity within the deep learning community as a new type of neural network.
By the end of this chapter, we will be able to classify clothing using capsule networks after going through the following:
- Understanding the importance of capsule networks
- A brief understanding of capsules
- The routing by agreement algorithm
- The implementation of the CapsNet architecture for classifying Fashion...