Result for "Deep Learning",196

poster_en.pdf

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

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

High-speed optical interconnect for AI : Distributed deep learning accelerator | NTT Device Technology Laboratories | NTT R&D Website

High-speed optical interconnect for AI : Distributed deep learning accelerator | NTT Device

https://www.rd.ntt/e/dtl/technology/pe_product-optical-interconnect.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/sic/team_researchers/researcher/249.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

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

Network-AI技術 – 主要な外部発表

. Matsuo and K. Watanabe, "Fault Detection of ICT systems with Deep Learning Model for Missing Data, " 2021

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

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

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

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

KOBAYASHI, Masahiro

, May 2018. A. Suzuki and M. Kobayashi, "Multi-Agent Deep Reinforcement Learning for Cooperative

https://www.rd.ntt/e/ns/qos/person/m_kobayashi/

スライド 1

modeling,” under review.[2] T. Ngo, Z. Lu, G. Carneiro,“Combining deep learning and level set for the

https://www.rd.ntt/cs/event/openhouse/2020/download/c_21_en.pdf

NTT Communication Science Laboratories Open House 2020

technology and our approaches with the theme "What can be done when the voice is combined with deep learning

https://www.rd.ntt/cs/event/openhouse/2020/research1/index_en.html

スライド 1

Signal Processing Research Group, Media Information Laboratory We propose an AI system (a deep learning

https://www.rd.ntt/cs/event/openhouse/2018/exhibition/17/poster_en_17.pdf

NTT Communication Science Laboratories Open House 2017 Program

) 11:00 - 11:40 Generative personal assistance with audio and visual examples Deep learning opens the

https://www.rd.ntt/cs/event/openhouse/2017/program_en.html

田尻 兼悟

, Yasuhiro Ikeda, Yuusuke Nakano, Keishiro Watanabe“Dividing Deep Learning Model for Continuous Anomaly

https://www.rd.ntt/ns/qos/person/tajiri/

Automated Data Analysis "RakuDA" | NTT Software Innovation Center | NTT R&D Website

of distributed data processing platform SE project includes deep learning and machine learning. Our

https://www.rd.ntt/e/sic/team_researchers/team/250.html