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Preferred Networks

  • Deep Learning
  • 1 Product
  • 0 Case Studies
Preferred Networks applies cutting-edge deep learning technology to applications in the the Internet of Things

Jul 25

2018 PFN Internship Coding Tasks

We have published the coding task used in the screening process of PFN internship 2018. It is available on GitHub. https://github.com/pfnet/intern-coding-tasks Hello, I'm Kusumoto, an engineer in PFN. In PFN, we organize a summer internship from August to September. Coding task is what we asked applicants to solve during the screening process to check the…

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Oct 21

Open-set Few-shot Speaker Identification

This is a guest blog from an ex-intern, Nontawat Charoenphakdee. About me I am Nontawat Charoenphakdee from Bangkok, Thailand. I am currently a second-year PhD student (starting from Sep 2018) working on machine learning at the Sugiyama-Sato-Honda lab in the University of Tokyo. I graduated with a master's degree from my current lab. My hobbies…

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Sep 27

A Brief History of Object Detection – from Haar-like features to losing anchors

Hello, my name is Tommi Kerola, an engineer at Preferred Networks. I would like to share some slides about recent research in object detection that was presented at an internal PFN seminar. We are making the slides publicly available with the hope that others may find it interesting or useful for research purposes. Object detection…

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Jul 15

GraphNVP

This post is contributed by Mr. Kaushalya Madhawa, who was an intern and a part-time engineer at PFN. Japanese version is available here. In this post we introduce our recent paper "GraphNVP: An Invertible Flow Model for Generating Molecular Graphs". Our code can be accessed from Github repo. Molecule Generation Discovery of new molecules with desirable…

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Preferred Networks - Preferred Networks - Connecting Everything

We make everything intelligent and collaborative. We build systems with deep intelligence and insight via deep learning.

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