Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User ...Read More
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User ...Read More
Preferred Networks Deepens Collaboration with PyTorch Community ...Read More
Preferred Networks Migrates its Deep Learning Research Platform to PyTorch ...Read More
Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy ...Read More
Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018
Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018 ...Read More
Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance ...Read More
Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy. ...Read More
Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams ...Read More
Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018 ...Read More
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch User ...Read More
Preferred Networks Deepens Collaboration with PyTorch Community ...Read More
Preferred Networks Migrates its Deep Learning Research Platform to PyTorch ...Read More
Preferred Networks releases version 6 of both the open source deep learning framework Chainer and the general-purpose matrix calculation library CuPy ...Read More
Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018
Nihon Keizai Shimbun Best Awards at the Nikkei Superior Products and Services Awards 2018 ...Read More
Preferred Networks releases ChainerX, a C++ implementation of automatic differentiation of N-dimensional arrays, integrated into Chainer v6 (beta version) for higher computing performance ...Read More
Preferred Networks releases version 5 of both the open source deep learning framework, Chainer and the general-purpose array calculation library, CuPy. ...Read More
Preferred Networks wins second place in the Google AI Open Images – Object Detection Track, competed with 454 teams ...Read More
Chainer awarded the Open Source Data Science Project Award Winner at ODSC East 2018 ...Read More
