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Introduction

日期: 01 Jan 2019
時段: 10:00am – 11:00am GMT
時間: 1 hour


(本線上研討會由 NVIDIA 總部講師由英文主講 + 中文字幕) 瞭解如何使用 NVIDIA NeMo 和 Jarvis 構建語音識別、自然語言理解和語音合成服務。 首先,我們將介紹 NeMo 工具包的基礎知識,該工具包用於訓練和微調數據上的對話式 AI 模型。 然後,我們將討論如何使用 Jarvis 部署這些服務並將其組合到一個完整的對話式 AI 解決方案中。

本場研討會之重點提要:
  • 使用神經模組建立對話式 AI 模型
  • 應用轉移學習為新領域微調對話式 AI 模型
  • 將訓練有素的模型部署到實際服務

線上研討會報名申請

感謝報名參加線上研討會



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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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主講者

OLEKSII KUCHAIEV

Senior Applied Scientist, NVIDIA

Oleksii is an applied scientist at NVIDIA working on deep-learning algorithms and tools for speech and NLP. Before NVIDIA, he was at Apple, where he worked on AppStore recommendations. And before Apple, he was at Microsoft, where he helped to create the first version of Microsoft's CNTK. Oleksii has a Ph.D. in computer science from the University of California, Irvine.

RYAN LEARY

Senior Applied Research Scientist, NVIDIA

Ryan is a senior applied research scientist at NVIDIA focusing on conversational AI research and production platforms. Prior tdeeo joining NVIDIA, Ryan served as the CTO of Qntfy, an NLP for Healthcare startup, where he was responsible for setting the technical direction of the company and leading the deep learning research team. Before Qntfy, Ryan worked as a Research Scientist at BBN Technologies in the Speech, Language and Multimedia department focusing on algorithms for large-scale automatic speech recognition deployments and speaker identification. He has published research in peer-reviewed venues on machine learning techniques tailored for scalability and performance, natural language processing, and speech recognition. Ryan holds an M.S. in Electrical & Computer Engineering from Johns Hopkins University, and a B.S. in Computer Science from Rensselaer Polytechnic Institute.

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Date & Time: Wednesday, April 22, 2018