7 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CV2017
Development of JavaScript-based deep learning platform and application to distributed training
Masatoshi Hidaka, Ken Miura, Tatsuya Harada
Deep learning is increasingly attracting attention for processing big data. Existing frameworks for deep learning must be set up to specialized computer systems. Gaining sufficient…
cs.DC2015★ 7 cited
Implementation of a Practical Distributed Calculation System with Browsers and JavaScript, and Application to Distributed Deep Learning
Ken Miura, Tatsuya Harada
Deep learning can achieve outstanding results in various fields. However, it requires so significant computational power that graphics processing units (GPUs) and/or numerous compu…
stat.ML2015★ 1 cited
MILJS : Brand New JavaScript Libraries for Matrix Calculation and Machine Learning
Ken Miura, Tetsuaki Mano, Atsushi Kanehira +2
MILJS is a collection of state-of-the-art, platform-independent, scalable, fast JavaScript libraries for matrix calculation and machine learning. Our core library offering a matrix…