Examine well known methods of extracting and feature vectors from graphs.

This projects aims to examine the complexity of neural network architectures to leverage structure that improves the training phase.

Archived news

Audio over BLE New Project

In graph mining the concept of dividing the nodes of a network into groups or communities as part of a clustering exercise is also called modularity. How well graph generators preserve modularity?

Parallelize Your Code

• Benefits:
  • No involvement of OpenCL, CUDA, etc.
  • Source can work on both CPUs (serially) and can be deployed to GPUs

Deep learning: A brief walk into the foundations underlying neural networks and deep learning.

The purpose of this Web-site is to tell you about my research interests, the projects I am involved in, the things I make, and a little about who I am.
Connect with me via: LinkedIn | Twitter

Develpment Notes MacOS Python as a Framework