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Bridge the gap between algorithms and implementations of deep learning. Powerful. Chainer supports CUDA computation. It only requires a few lines of code to ...

Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach (a.k.a. ...

Chainer is an open source deep learning framework written purely in Python on top of NumPy and CuPy Python libraries. The development is led by Japanese ...

Python 2 is not supported in Chainer v7.x releases. Please consider migrating Python 3 or use Chainer v6.x, which is the last version that supports Python 2.

chainer · A flexible framework of neural networks for deep learning. Python ; daz · daz: Denormals are zeros. The tool to change the CPU flag about denormals ...

We introduced Chainer as a poweruful, intuitive and flexible framework for deep learning. Chainer enables users to easily implement complex models proposed by ...

2015/12/9 -In Chainer, Variable objects are both part symbolic and part numeric. They contain values in the data attribute, but also information about the ...

Chainer is a Python-based deep learning framework aiming at flexibility. It provides automatic differentiation APIs based on the define-by-run approach, ...

Chainer is a flexible Python-based framework for easily and intuitively writing complex neural network architectures. Chainer makes it easy to use multi-GPU ...

Chainer is a flexible Python-based framework for neural networks. It was developed by Preferred Networks, a startup based in Japan.