Chainer A Powerful, Flexible, and Intuitive Framework for Neural Networks.
✅ Bridge the gap between Algorithms and Implementations OF Deep Learning.
✅ Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
✅ Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures.
✅ 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 venture company Preferred Networks in partnership with IBM, Intel, Microsoft, and Nvidia. https://chainer.org/
Chainer A Powerful, Flexible, and Intuitive Framework for Neural Networks.
✅ Bridge the gap between Algorithms and Implementations OF Deep Learning.
✅ Chainer supports CUDA computation. It only requires a few lines of code to leverage a GPU. It also runs on multiple GPUs with little effort.
✅ Chainer supports various network architectures including feed-forward nets, convnets, recurrent nets and recursive nets. It also supports per-batch architectures.
✅ 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 venture company Preferred Networks in partnership with IBM, Intel, Microsoft, and Nvidia. https://chainer.org/
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