Deep Learning

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

by Ankit Sachan • April 29, 2019

  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

Man’s Search for the most accurate Neural Network Architecture

by Ankit Sachan • September 27, 2018

Neural network architecture design is one of the key hyperparameters in solving problems using deep learning and computer vision. Various neural networks are compared on two key factors i.e. accuracy and computational requirement. In general, as we aim to design more accurate neural networks, the computational requirement increases. In this post, we shall learn about […]

Continue Reading

Running Deep Learning models in OpenCV

by Ankit Sachan • July 12, 2018

The largest computer vision library OpenCV can now deploy Deep learning models from various frameworks such as Tensorflow, Caffe, Darknet, Torch. This tutorial is a step by step guide with code how I deployed YOLO-V2 model in OpenCV. OpenCV: The open source computer vision library for everyone: OpenCV has been the go-to library for computer […]

Continue Reading

Choosing a Deep Learning Framework: Tensorflow or Pytorch?

by Ankit Sachan • May 29, 2018

One of my friends is the founder and Chief data scientist at a very successful deep learning startup. 2017 was a good year for his startup with funding and increasing adoption. However, on a Thursday evening last year, my friend was very frustrated and disappointed. The framework on which they had built everything in last […]

Continue Reading

Object Detection using Single Shot Multibox Detector

by koustubh • January 2, 2018

In a previous post, we covered various methods of object detection using deep learning. In this blog, I will cover Single Shot Multibox Detector in more details. SSD is one of the most popular object detection algorithms due to its ease of implementation and good accuracy vs computation required ratio. Work proposed by Christian Szegedy […]

Continue Reading