Result for "Deep Learning",318

poster_en.pdf

【Reference】 【Co nt ac t】 Abstract Fast and Accurate Deep Learning Yasutoshi Ida Software

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/7/poster_en.pdf

AI競争の差別化要因となる「Deep Learningのコアな研究/技術」｜NTT R&D Website

AI競争の差別化要因となる「Deep Learningのコアな研究/技術」｜NTT R&D Website NTT R&D Website リサーチ&アクティビティ AI競争の差別化要因

https://www.rd.ntt/research/AP99-320.html

Carrier Cloud for Deep Learning to Enable Highly Efficient Inference Processing | NTT R&D Website

Carrier Cloud for Deep Learning to Enable Highly Efficient Inference Processing | NTT R&D Website

https://www.rd.ntt/e/research/JN20191114_h.html

NTT Communication Science Laboratories Open House 2016

Fast and accurate deep learning - Efficient learning utilizing directions of past gradients - Abstract

https://www.rd.ntt/cs/event/openhouse/2016/exhibition/7/index_en.html

Sekitoshi Kanai | NTT Software Innovation Center | NTT R&D Website

Project Researcher (As of November 2018) Making the current deep learning with AI faster, easier and safer

https://www.rd.ntt/e/cct/team_researchers/researcher/249.html

"DeAnoS: Deep Anomaly Surveillance” Deep Learning-based Anomaly Detection Technology | NTT R&D Website

"DeAnoS: Deep Anomaly Surveillance” Deep Learning-based Anomaly Detection Technology | NTT R&D

https://www.rd.ntt/e/research/NSL0005.html

Object extraction technologies using deep learning | NTT R&D Website

Object extraction technologies using deep learning | NTT R&D Website NTT R&D Website Research

https://www.rd.ntt/e/research/HI0010.html

Deep reinforcement learning-based vehicle routing technology | NTT Access Network Service Systems Laboratories | NTT R&D Website

Deep reinforcement learning-based vehicle routing technology | NTT Access Network Service Systems

https://www.rd.ntt/e/as/theme/movie20.html

スライド 1

Improving the accuracy of deep learning - Larger capacity output function for deep learning - Deep learning

https://www.rd.ntt/cs/event/openhouse/2019/download/04_a_en.pdf

Network-AI技術 – 主要な外部発表 | NTT R&D Website

and S. Harada, "Cooperative Multi-Agent Deep Reinforcement Learning for Dynamic Virtual Network

https://www.rd.ntt/ns/qos/research/05/presentation.html

Research on Asynchronous Distributed Deep Learning Technology―Optimizing Machine Learning Models in the Age of Distributed Data Storage｜NTT R&D Website

Research on Asynchronous Distributed Deep Learning Technology―Optimizing Machine Learning Models

https://www.rd.ntt/e/research/RDNTT20210501.html

NTT Communication Science Laboratories Open House 2019

Improving the accuracy of deep learning - Larger capacity output function for deep learning - Abstract Deep

https://www.rd.ntt/cs/event/openhouse/2019/exhibition4/index_en.html

スライド 1

for efficient object search We propose Adaptive Spotting, a deep reinforcement learning approach to

https://www.rd.ntt/cs/event/openhouse/2020/download/c_19_en.pdf

NTT Communication Science Laboratories Open House 2018 Program

environmental sensing and machine learning Memory efficient deep learning for mobile devices Quantized neural

https://www.rd.ntt/cs/event/openhouse/2018/program_en.html

スライド 1

from their voices with deep learning model Applications Call center response decision, marketing

https://www.rd.ntt/cs/event/openhouse/2020/download/c_15_en.pdf

NTT Communication Science Laboratories Open House 2018

analysis by environmental sensing and machine learning Memory efficient deep learning for mobile devices

https://www.rd.ntt/cs/event/openhouse/2018/en_simple/index_en.html

Deep Image Generation Based on Optics and Physics | NTT Communication Science Laboratories | NTT R&D Website

. This advancement has been driven by progress in deep learning; however, typical deep learning models

https://www.rd.ntt/e/cs/team_project/media/recognition/research_media21.html

NTT Communication Science Laboratories Open House 2016

Thursday, June 2th 15:30 - 16:10 Avenues toward super-human speech recognizers - Advances in deep learning

https://www.rd.ntt/cs/event/openhouse/2016/talk/research1/index_en.html

Meta-learning Achieves High Accuracy with a Small Amount of Training Data | NTT R&D Website

; however, around 2018, when deep-learning research was progressing apace, computer performance was

https://www.rd.ntt/e/research/JN202404_25752.html

NTT Communication Science Laboratories Open House 2017

Abstract The rapid progress of deep learning is impacting the world we live in. Media generation (e.g

https://www.rd.ntt/cs/event/openhouse/2017/talk/research2/index_en.html