Anirudh Koul

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Koul (coincidentally pronounced 'Cool') brings a decade of production-oriented Applied Research / Data Science experience on Peta Byte scale Social Media datasets. An entrepreneur at heart driven by innovation, he has been running a mini startup within Microsoft, managing over 40 people spread across 4 geographical locations. He has worked on a variety of Machine Learning, Natural Language Processing, Deep Learning, Computer Vision, Information Retrieval & Search, Data Mining and Scalability related projects at Yahoo, Microsoft and Carnegie Mellon University. Rapidly prototyping ideas, he has won close to three dozen innovation, programming & 24 hour hackathon contests from companies incl...

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Anirudh Koul

Deep Video Object Tracking - Xavier Giro - UPC Barcelona 2019

Emerging 3D Scanning Technologies for PropTech

Microsoft at AHG 2017

Squeezing Deep Learning Into Mobile Phones

Deep Neural Networks for Multimodal Learning

Visual7W Grounded Question Answering in Images

Dynamic memory networks for visual and textual question answering

Open-ended Visual Question-Answering

ROBORACE

Building Intelligent Data Products

Deep Learning with Python (PyData Seattle 2015)

Deep Learning Class #1 - Go Deep or Go Home

Deep learning for_devs

Introduction to Deep Learning

Deep Learning: Theory, History, State of the Art & Practical Tools

Deep Learning Class #2 - Deep learning for Images, I See What You Mean

Python libraries for Deep Learning with Sequences

Practical Deep Learning

A Product Manager's Job

Search Engines