Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy
Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance
Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy.
Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams
Preferred Networks released open source deep learning framework Chainer v4 and general-purpose array calculation library CuPy v4.
Preferred Networks achieved the world’s fastest training time in deep learning, completed training on ImageNet in 15 minutes,using the distributed learning package ChainerMN and a large-scale parallel computer
Preferred Networks released open source deep learning framework Chainer v3 and NVIDIA GPU array calculation library CuPy v2