APSIPA 2021
Authors
Paper Submission
Paper Kit
Program
Technical Program
Paper Search
Presentation Instructions
Presentation Instructions
Presentation Upload
Sponsors
APSIPA 2021 Attendee Access
Technical Program
Session OS-4
Paper OS-4.2
OS-4.2
Approximate Second Order Optimization for Distributed Deep Learning
Rio Yokota, Tokyo Institute of Technology, Japan
Session:
Deep Learning for Image Processing
Track:
Machine Learning and Data Analytics (MLDA)
Session Time:
Tuesday, December 14, to Thursday, December 17
Presentation
Not logged in.
Not logged in.
Discussion
Not logged in.
Resources
Not logged in.
Session OS-4
OD.OD-C.1: Pre-training Neural Networks without Natural Images
Nakamasa Inoue, Tokyo Institute of Technology, Japan
OD.OD-C.2: Approximate Second Order Optimization for Distributed Deep Learning
Rio Yokota, Tokyo Institute of Technology, Japan
OD.OD-C.3: Various Hardware Accelerator Implementations for Deep Learning
Hiroki Nakahara, Tokyo Institute of Technology, Japan