Chainer is an open-source deep learning framework written in Python. It provides a flexible and intuitive “define-by-run” (dynamic computation graph) approach, making it easy to build and train complex neural networks. Chainer supports both CPU and GPU execution through seamless integration with CuPy, allowing efficient research and production use in areas such as computer vision, natural language processing, and reinforcement learning.

Features of Chainer:

• Dynamic computation graphs (“define-by-run”) for flexible model building and debugging.
• Supports a wide range of neural network architectures and deep learning techniques.
• Seamless GPU acceleration via CuPy for faster training and inference.
• Extensible design, allowing researchers to implement custom layers and training loops.
• Integrates with NumPy/CuPy arrays for efficient numerical computation.
• Open-source and widely used in research and education.

To check the installed version of Chainer, run these commands in your environment:

$ sudo su 
$ sudo apt update 
$ source ~/chainer-venv/bin/activate
$ pip show chainer 

Disclaimer: Chainer is released under the MIT License and maintained by the Preferred Networks community. Users are responsible for ensuring correct usage in their specific applications. The developers do not take responsibility for any consequences arising from its use. Always refer to the official documentation for the most accurate and up-to-date information.