Personal Information
Entreprise/Lieu de travail
Tokyo Japan
Profession
Senior Staff Research Engineer, Artificial Intelligence
Secteur d’activité
Technology / Software / Internet
Site Web
www.linkedin.com/in/hamadakoichi/
À propos
As a senior staff research engineer for Artificial Intelligence, I develop a broad range of mobile and online services utilizing AI, such as games, gaming platforms, entertainment content distributions.
I have developed dozens of machine learning systems for hundreds of million users and accelerated services. For example, I have developed dozens of machine learning systems for the social-gaming platform ‘Mobage’, where over 51 million registered users create 3.5 billion behavior records every day.
Recently, I have been developing content generation systems with deep generative models for Character/Anime Synthesis and Anime Inbetweening.
Mots-clés
datamining
webmining
statistics
machine learning
data mining
r
mathematics
web
ai
deepleaning
deep learning
machinelearning
hadoop
mahout
gans
social network
generative model
anime
deep neural network
analytics
social game
datamaining
random forest
analysis
dl
ml
deeplearning
development
dialogue
nips2016
dialog
manga
conversation
fashion
distributed computing
complex network
dataminin
business
mchine learning
"machine learning"
dataminig
social graph design interface reputation collectio
prml
prmlrevenge
Tout plus
Présentations
(41)Documents
(1)J’aime
(87)MIRU2018 tutorial
Takayoshi Yamashita
•
il y a 5 ans
LiDAR-SLAM チュートリアル資料
Fujimoto Keisuke
•
il y a 5 ans
畳み込みニューラルネットワークの研究動向
Yusuke Uchida
•
il y a 6 ans
ICCV 2017 速報
cvpaper. challenge
•
il y a 6 ans
ICCV2017一人読み会
Fujimoto Keisuke
•
il y a 6 ans
最近のSingle Shot系の物体検出のアーキテクチャまとめ
Yusuke Uchida
•
il y a 6 ans
モデルアーキテクチャ観点からのDeep Neural Network高速化
Yusuke Uchida
•
il y a 6 ans
深層学習とベイズ統計
Yuta Kashino
•
il y a 6 ans
CVPR 2017 速報
cvpaper. challenge
•
il y a 6 ans
君たちの未来とイノベーション創出に向けた想い
Osaka University
•
il y a 6 ans
Value iteration networks
Fujimoto Keisuke
•
il y a 7 ans
ECCV 2016 まとめ
cvpaper. challenge
•
il y a 7 ans
これからのコンピュータビジョン技術 - cvpaper.challenge in PRMU Grand Challenge 2016 (PRMU研究会 2016年12月)
cvpaper. challenge
•
il y a 7 ans
【チュートリアル】コンピュータビジョンによる動画認識
Hirokatsu Kataoka
•
il y a 7 ans
ECCV 2016 速報
Hirokatsu Kataoka
•
il y a 7 ans
CVPR 2016 まとめ v1
cvpaper. challenge
•
il y a 7 ans
Learning stochastic neural networks with Chainer
Seiya Tokui
•
il y a 7 ans
深層学習フレームワーク Chainer の開発と今後の展開
Seiya Tokui
•
il y a 7 ans
Recent Progress in RNN and NLP
hytae
•
il y a 7 ans
新たなRNNと自然言語処理
hytae
•
il y a 7 ans
物体認識 IoT サービスを支える技術 〜クラウドアーキテクチャから組込み深層学習まで〜
Takashi Kaneda
•
il y a 7 ans
投資会社から見た人工知能(Ai)の事業化トレンド
Osaka University
•
il y a 7 ans
Introduction to Chainer
Seiya Tokui
•
il y a 7 ans
論文紹介 Pixel Recurrent Neural Networks
Seiya Tokui
•
il y a 7 ans
Learning Convolutional Neural Networks for Graphs
Takuya Akiba
•
il y a 7 ans
Dropout Distillation
Shotaro Sano
•
il y a 7 ans
深層学習ライブラリの環境問題Chainer Meetup2016 07-02
Yuta Kashino
•
il y a 7 ans
Chainer, Cupy入門
Yuya Unno
•
il y a 7 ans
Chainer Update v1.8.0 -> v1.10.0+
Seiya Tokui
•
il y a 7 ans
Sano tokyowebmining 201625_v04
Masakazu Sano
•
il y a 7 ans
Personal Information
Entreprise/Lieu de travail
Tokyo Japan
Profession
Senior Staff Research Engineer, Artificial Intelligence
Secteur d’activité
Technology / Software / Internet
Site Web
www.linkedin.com/in/hamadakoichi/
À propos
As a senior staff research engineer for Artificial Intelligence, I develop a broad range of mobile and online services utilizing AI, such as games, gaming platforms, entertainment content distributions.
I have developed dozens of machine learning systems for hundreds of million users and accelerated services. For example, I have developed dozens of machine learning systems for the social-gaming platform ‘Mobage’, where over 51 million registered users create 3.5 billion behavior records every day.
Recently, I have been developing content generation systems with deep generative models for Character/Anime Synthesis and Anime Inbetweening.
Mots-clés
datamining
webmining
statistics
machine learning
data mining
r
mathematics
web
ai
deepleaning
deep learning
machinelearning
hadoop
mahout
gans
social network
generative model
anime
deep neural network
analytics
social game
datamaining
random forest
analysis
dl
ml
deeplearning
development
dialogue
nips2016
dialog
manga
conversation
fashion
distributed computing
complex network
dataminin
business
mchine learning
"machine learning"
dataminig
social graph design interface reputation collectio
prml
prmlrevenge
Tout plus