Fully vectorized and interpretable Pytorch implementation of capsule layers (and CapsNet) as described in the NIPS 2017 paper 'Dynamic Routing Between Capsules' by S. Sabour, N. Frosst and G.E. Hinton ...

In this article I explain what neural network Glorot initialization is and why it's the default technique for weight initialization. The best way to see where this article is headed is to take a look ...

The neural network has (4 * 12) + (12 * 1) = 60 node-to-node weights and (12 + 1) = 13 biases which essentially define the neural network model. Using the rolling window data, the demo program trains ...

Choosing capsule neural networks. The researchers to use a capsule neural network, as this type of machine learning system can recognize the relative positions of pressure patterns — a key ...

When we discuss neural networks, this is always the hitch. In a broad sense, there is no problem solvable with a neural network that isn’t solvable using traditional techniques.