Anirudh Koul
3 SlideShares 123 Followers 148 Folgens
Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Deep Learning Data Scientist at Microsoft AI & Research
Branche
Technology / Software / Internet
Webseite
http://koul.us
Info
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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deep learning ios mobile coreml keras artificial intelligence ai tflite mlkit android tensorflow smartphone tensorflow lite convolutional neural network
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Präsentationen

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Squeezing Deep Learning Into Mobile Phones

Vor 7 Jahren • 39039 Aufrufe

Deep learning on mobile

Vor 5 Jahren • 2503 Aufrufe

Deep learning on mobile - 2019 Practitioner's Guide

Vor 4 Jahren • 5990 Aufrufe

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Deep Video Object Tracking - Xavier Giro - UPC Barcelona 2019

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Emerging 3D Scanning Technologies for PropTech

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Microsoft at AHG 2017

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Squeezing Deep Learning Into Mobile Phones

Anirudh Koul • Vor 7 Jahren

Deep Neural Networks for Multimodal Learning

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Visual7W Grounded Question Answering in Images

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Dynamic memory networks for visual and textual question answering

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Open-ended Visual Question-Answering

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ROBORACE

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Building Intelligent Data Products

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Deep Learning with Python (PyData Seattle 2015)

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Deep Learning Class #1 - Go Deep or Go Home

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Deep learning for_devs

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Introduction to Deep Learning

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

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

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Python libraries for Deep Learning with Sequences

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Practical Deep Learning

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A Product Manager's Job

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Information Extraction from Web-Scale N-Gram Data

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Information Extraction

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Information Extraction

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Information Extraction --- An one hour summary

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ppt

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Maximum Likelihood Estimation

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The Method Of Maximum Likelihood

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Introduction to Maximum Likelihood Estimator

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Personal Information
Unternehmen/Arbeitsplatz
San Francisco Bay Area United States
Beruf
Deep Learning Data Scientist at Microsoft AI & Research
Branche
Technology / Software / Internet
Webseite
http://koul.us
Info
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...
Tags
deep learning ios mobile coreml keras artificial intelligence ai tflite mlkit android tensorflow smartphone tensorflow lite convolutional neural network
Mehr anzeigen