Hiroki Nakahara
187
Seguidores
Personal Information
Organização/Local de trabalho
Japan Japan
Cargo
Tokyo Institute of Technology ー Associate Professor
Setor
Education
Sobre
FPGA developments for a packet classification, a regular expression matching, a radio telescope, multi-valued logic based processor, and a deep neural network computing.
Marcadores
fpga
altera
de0
verilog-hdl
deep learning
deep neural network
binarized cnn
cnn
embedded system
yolov2
machine learning
rns
object detector
random forest
altera sdk for opencl
radio telescope
high-level synthesis
niosii
processor
cloud computing
high-performance computing
multi deep learning
ros
high performance computing
compression
ternary logic
binary cnn
guinness
gpu
mdd
multiple-valued logic
high level synthesis
tensorflow
binary neural network
fpgax
dqn
fft
digital spectrometer
astronomy
imagenet
vivado hls
nes
Ver mais
- Apresentações
- Documentos
- Infográficos
見やすいプレゼン資料の作り方 - リニューアル増量版
MOCKS | Yuta Morishige
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Há 9 anos
Internet of Things
Vala Afshar
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Há 9 anos
スタートアップ共同創業者の見つけ方、付き合い方、別れ方
Takaaki Umada
•
Há 9 anos
「はじめてでもわかる RandomForest 入門-集団学習による分類・予測 -」 -第7回データマイニング+WEB勉強会@東京
Koichi Hamada
•
Há 13 anos
画像認識モデルを作るための鉄板レシピ
Takahiro Kubo
•
Há 7 anos
畳み込みニューラルネットワークの高精度化と高速化
Yusuke Uchida
•
Há 5 anos
画像認識のための深層学習
Saya Katafuchi
•
Há 9 anos
畳み込みニューラルネットワークの研究動向
Yusuke Uchida
•
Há 6 anos
Scikit learnで学ぶ機械学習入門
Takami Sato
•
Há 9 anos
Building Random Forest at Scale
Sri Ambati
•
Há 9 anos
IIBMP2016 深層生成モデルによる表現学習
Preferred Networks
•
Há 7 anos
「深層学習」第6章 畳込みニューラルネット
Ken'ichi Matsui
•
Há 8 anos
SSD: Single Shot MultiBox Detector (ECCV2016)
Takanori Ogata
•
Há 7 anos
Data Science - Part V - Decision Trees & Random Forests
Derek Kane
•
Há 9 anos
Convolutional Neural Networks のトレンド @WBAFLカジュアルトーク#2
Daiki Shimada
•
Há 8 anos
合成変量とアンサンブル:回帰森と加法モデルの要点
Ichigaku Takigawa
•
Há 6 anos
Vivado hls勉強会1(基礎編)
marsee101
•
Há 8 anos
最近のSingle Shot系の物体検出のアーキテクチャまとめ
Yusuke Uchida
•
Há 6 anos
Semantic segmentation
Takuya Minagawa
•
Há 7 anos
3D CNNによる人物行動認識の動向
Kensho Hara
•
Há 6 anos