WEBFARMER. ltd.

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I am Takamitsu Omasa, a manager of WEBFARMER, engineer and researcher who runs a web farmer in Japan. I have been involved in many development and data analysis projects, including the development of medical anomaly detection systems and robotic artificial intelligence systems. I have won many awards in data analysis competitions and artificial intelligence hackathons. He has also organized many artificial intelligence workshops and seminars. He has co-authored the GAN Deep Learning Implementation Handbook (Shuwa Systems) and supervised many other books on artificial intelligence and data analysis.

deep learning machine learning gan dqn education cnn ai drl information technology webfarmer chainer reinforcement learning technology cv slam nips tensorflow detection yolo compression haffman encoding mnist wba frmqn 3d q learning engineering computer visual video

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WEBFARMER. ltd.

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動作認識におけるディープラーニングの最新動向１　3D-CNN

動作認識におけるディープラーニングの最新動向２Sequential DL for HAR

３次元タスクにおけるディープラーニングの最新動向１DeepStereo

introduction to Deep Q Learning

岡谷貴之「深層学習」の解説

introduction to double deep Q-learning

introduction to Dueling network

introduce to Multimodal Deep Learning for Robust RGB-D Object Recognition

The introduction to FRMQN model

Introduction to Prioritized Experience Replay

Hackathon 161010 pressen

人工知能ハッカソン用プレゼン資料（161217)

Introduction to Neural Turning Machine

ディープラーニング・ハンズオン勉強会161229

Introduction to Deep Compression

Introduction to YOLO detection model

Introduction to A3C model

Introduction to GAN model

Ml15min発表資料（提出用）

Connect_GANs_Actor-Critic

DRL_stydy_1_doc_ohmasa

Machine Learning 15minutes 発表資料（株）ウェブファーマー

Nips20180127

Study Group of NIPS2017 presented by webfarmer.ltd

SLAM_study_document

Chainer Meetup 発表資料

第４６回コンピュータ・ビジョン勉強会＠関東（前編）

Nips2018 study only_pu_net_pdf

SPIGAN理論と実装について at 論文LT会 in LPIXEL

The 53th Computer Vision Study@ kantou by Takamitsu Omasa

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深層生成モデルを用いたマルチモーダルデータの半教師あり学習

TensorFlowで逆強化学習

自然言語処理 Word2vec

MIRU2014 tutorial deeplearning

ニューラルチューリングマシン入門

ニューラルネットワーク入門