SPIKING_KNN Introduction¶ The goal of this article is to show how neural dynamics can be be concretely used to solve a common machine learning problem, KNN search. Tutorial 2 of my series on neural dynamics is a pre-requisite for this tutorial. Today we will be (partially) implementing the following paper: Neuromophic Nearest-Neigbor Search Using Intel’s […]
Neural Dynamics for ML Engineers – Part 4: Spiking KNN Read More »
Overview So it’s been a little while getting to this, but finally got to writing a sequel to my first post about discretizing Leaky Integrate and Fire (LIF) neurons for simulation on a computer. The purpose of this series is to provide an easy-to-follow introduction to neuromorphic computing for ML-Engineers starting from the basics. I
Neural Dynamics for ML Engineers – Part 2: The CUBA LIF Neuron Read More »
Overview Are you an ML engineer interested in developing neuromorphic algorithms? Are you really good with backpropagation, Pytorch, and Tensorflow but are a little rusty in physics and diff eq? If you answered ‘yes’ to both questions then you have come to the right place. This tutorial is designed to give ML engineers a guide
Neural Dynamics for ML Engineers – Part 1: The LIF Neuron Read More »