TensorFlow Tutorial: 10 minutes Practical TensorFlow lesson for quick learners

by Ankit Sachan • February 8, 2017

This TensorFlow tutorial is for someone who has basic idea about machine learning and trying to get started with TensorFlow. You would need to have TensorFlow installed. You can follow this tutorial to install TensorFlow. This tensorflow tutorial is divided into two parts; in first part we explain the basics with example; in second part […]

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Install Tensorflow-1.0 with GPU on ubuntu 14.04 on AWS P2.xlarge

by koustubh • February 8, 2017

This post is for you if you are looking to install TensorFlow 1.0 from source on ubuntu 14.04 on AWS machine with GPU support(CUDA). Quick Summary of setup: OS: ubuntu 14.04 Cloud: AWS P2.xlarge instance TensorFlow version: 1.0.0-rc1 Bazel Version: 0.4.4 CuDNN: 5.1 CUDA: 8.0 Once you have launched an AWS P2.xlarge instance with ubuntu […]

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Show attend and tell, a communication system

Show, attend and tell: Fine details of how state-of-the-art deep learning systems generate image captions

by koustubh • January 13, 2017

How would YOU communicate with Aliens ? How would you teach them your language ? The way we teach children right ? By showing them pictures of various objects and their names. Basically Associating the Image and the Text. That’s the goal of automatic image captioning. It is an extensive topic and decades of research has gone into […]

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Case-Study: Better HAAR feature-based Eye Detector using OpenCV

by koustubh • January 11, 2017

Motivation behind this post: Opencv object detectors which are built using Haar feature-based cascade classifiers is at least a decade old. OpenCV framework provides a default pre-built haar and lbp based cascade classifiers for face and eye detection which are very good quality detectors. However, I had never measured the accuracy of these face and […]

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Object detection for image search and computer vision using deep larning

Object Detection using Deep Learning for advanced users (Part-1)

by koustubh • December 24, 2016

Prologue:This is a three part series which will elaborate on Object Detection in images using Convolutional Neural Networks (CNN). First part will deal with groundbreaking papers in detection. Second part will give an overview on some of the fancier methodologies that have been published recently. Third part will be about one of our more sophisticated methods […]

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