Neural Networks

Our ability to draw, write, and innovate is rivalled by no other species. It’s what has allowed us to become as advanced as we are today. But soon, we might not be the only ones with the skill of creativity. Computers are catching up, and they’re catching up fast....

It’s important to understand the different concepts in artificial intelligence that help solve real-world problems. This can be done by implementing processes and techniques like machine learning, which is a branch of artificial intelligence....

This is second part of a three-part series of blog posts about compression of deep neural networks. The compression, which reduces the number of parameters and computation, is a useful technique for deploying neural networks in environments such as in edge computing....

In this three-part blog posts, I am going to share with you some simple examples of neural network compression to help you better understand compressing deep neural nets....

Two feedforward neural network models: one that could classify numbers and another that could classify clothing items....

Neuromorphic computing utilizes electronic technology to replicate the computational properties of biological processes. Spiking neural networks are compute engine of neuromorphic models. Unlike...