Chainer: Difference between revisions
Jump to navigation
Jump to search
RobowaifuDev (talk | contribs) (Created page with "'''Chainer''' is an open-source deep learning framework for creating neural networks. It is designed to be flexible and extensible, allowing users to create complex models without having to write a lot of code, and supports a variety of languages, including Python, C++, and JavaScript. == Links == * [https://chainer.org/ Official site]") |
RobowaifuDev (talk | contribs) m (Add categories, expand) |
||
| Line 1: | Line 1: | ||
'''Chainer''' is | '''Chainer''' is a deep learning framework written in [[Python]] with [[NumPy]] and [[CuPy]]. It is designed to be intuitive, flexible and easy to use, allowing developers to quickly prototype and train [[machine learning]] models. Chainer is similar to [[PyTorch]] in that both frameworks are based on define-by-run, where the model is defined at the forward pass of the network. However, Chainer provides far more options for users to customize their network architectures. Additionally, Chainer allows users to use [[NumPy]] and [[SciPy]] within their models. | ||
== Links == | == Links == | ||
* [https://chainer.org/ Official site] | * [https://chainer.org/ Official site] | ||
[[Category: Software]] [[Category:Machine learning software]] | |||
Latest revision as of 16:23, 29 December 2022
Chainer is a deep learning framework written in Python with NumPy and CuPy. It is designed to be intuitive, flexible and easy to use, allowing developers to quickly prototype and train machine learning models. Chainer is similar to PyTorch in that both frameworks are based on define-by-run, where the model is defined at the forward pass of the network. However, Chainer provides far more options for users to customize their network architectures. Additionally, Chainer allows users to use NumPy and SciPy within their models.