Chainer: A Deep Learning Framework for Fast Research & Applications | SciPy 2019 | Seiya Tokui

Chainer is a deep learning framework for flexible and intuitive coding of high performance experiments and applications. It is designed to maximize the trial-and-error speed with its Define-by-Run paradigm, which provides Pythonic programming of auto-differentiated neural networks. The framework can accelerate performance with multiple GPUs in distributed environments and add-on packages enable quickly jumping into specific domains. In this talk, we introduce the abstract of Chainer’s API, its capabilities