Published 2019-07-12 21:04 Tagged on graph dgcnn cnn pointclouds ai 3D deep-learning "Dynamic Graph CNN for Learning on Point Clouds" Simplified # Introduction Point clouds are a collection of data points in space, usually produced by a 3D scanner. A large number of points are measured on the external surfaces of the objects and then represented as point clouds. Along with the relative 3D coordinates, point clouds can be accompanied...
Published 2019-07-12 04:21 Tagged on ai computational-neuroscience Introduction to Spiking Neural Networks (Part I): Biological Background  *Source: [Madwayoga Blog](https://madwayoga.wordpress.com/2015/05/26/balancing-the-branches-of-your-nervous-system/)* ## Introduction The current generation, namely the 2nd generation of artificial neural networks, have made...
Published 2019-06-12 10:12 Tagged on ai machine-translation transformer deep-learning Attention Is All You Need: The Transformer # Introduction The advent of deep learning over the past few years has opened a lot of possibilities regarding neural machine translation (NMT). **Attention is all you** **need**, also known as **Transformer** [1], has become the state-of-the-art in NMT, surpassing tradition recurrent neural...