How-to

NSFW Tensorflow: Identifying objectionable content using Deep Learning

by Utkarsh Gupta • June 25, 2019

In today’s post, we would learn how to identify not safe for work images using Deep Learning. Not-Safe-For-Work images can be described as any images which can be deemed inappropriate in a workplace primarily because it may contain: Sexual or pornographic images Violence Extreme graphics like gore or abusive Suggestive content For example, LinkedIn is […]

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Installation of OpenCV 4.1.0 in Windows 10 from source

by Utkarsh Gupta • June 11, 2019

OpenCV is an open source computer vision library which is very popular for performing basic image processing tasks such as blurring, image blending, enhancing image as well as video quality, thresholding etc. In addition to image processing, it provides various pre-trained deep learning models which can be directly used to solve simple tasks at hand. […]

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TensorFlow 2.0 Alpha : Let seek the New in the Old

by Naveen Manwani • May 28, 2019

  The baby boomers to generation z popularly known as Post-Millennials are all living in an impressionable moment of history now, where technologies like machine learning, deep learning and reinforcement learning are witnessing an unparalleled revolution of all time. The ability to solve challenging real-world problems has been revitalized by the ML framework on steroids […]

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Deep Learning based image colorization with OpenCV

by Ankit Sachan • March 25, 2019

In India, we celebrated the festival of color “Holi” last week. We celebrate the end of the winter with a splash of color because that’s what the spring will bring us in a few days. When I was young, the celebrations were sparse. It was the decade of frugal parenting. We waited for festivals so […]

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Neural Architecture Search

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 […]

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