Zero to Hero: A Quick Guide to Object Tracking: MDNET, GOTURN, ROLO

by Ankit Sachan • April 29, 2021

  In today’s article, we shall deep dive into video object tracking. Starting from the basics, we shall understand the need for object tracking, and then go through the challenges and algorithmic models to understand visual object tracking, finally, we shall cover the most popular deep learning based approaches to object tracking including MDNET, GOTURN, […]

Continue Reading

Using gpus Efficiently for ML

by Ankit Sachan • November 24, 2020

In this blog post, we will look into how to use multiple gpus with Pytorch. We will see how to do inference on multiple gpus using DataParallel and DistributedDataParallel models of pytorch. Same methods can also be used for multi-gpu training. Pytorch provides a very convenient to use and easy to understand api for deploying/training models […]

Continue Reading
Tensorflow tutorials

A quick complete tutorial to save and restore Tensorflow 2.0 models

by Ankit Sachan • July 17, 2020

Update: This article has been updated to show how to save and restore models in Tensorflow 2.0. If you want to learn the same with Tensorflow1.x, please go to this earlier article that explains how to save and restore Tensorflow 1.x models. In this Tensorflow 2.X tutorial, I shall explain: What is a Tensorflow-Keras Model API? […]

Continue Reading

Who’s Who of Deep Learning Eco-System

by Ankit Sachan • April 1, 2020

        Alexnet, which started the deep learning revolution, was loosely based on a network architecture(LENet) proposed by Yann Lecun in 1998. However, back then, we didn’t have the compute or the training data to train and produce the results like Alexnet. Alex used Nvidia GPUs for training, in fact he used two GPUs to train which […]

Continue Reading

Intro to AI and Machine Learning for Technical Managers

by Ankit Sachan • March 2, 2020

  In 2013, Google acquired a company called DeepMind for 400 Million dollars. DeepMind at the time had no product and no revenue, but what they had was a team of the best brains in the world who worked on Machine learning and Deep Learning. In fact, between 2013 and 2015, all the technology giants(Facebook, […]

Continue Reading