PaddlePaddle (PArallel Distributed Deep LEarning) is an open-source deep learning framework designed for high-performance AI applications. Developed by Baidu and now maintained by the PaddlePaddle community, it enables developers to build scalable and efficient machine learning models for various domains, including natural language processing (NLP), computer vision, and speech recognition. With its focus on flexibility and ease of use, PaddlePaddle supports both dynamic and static computational graphs, making it a powerful choice for deep learning research and deployment.

Features of PaddlePaddle:

• Dynamic and static computational graph support for flexibility and optimization.
• High-performance training with multi-GPU and distributed computing support.
• Automatic differentiation and optimized computation for deep learning tasks.
• Rich ecosystem with PaddleHub, Paddle Serving, and Paddle Lite for deployment.
• Extensive pre-trained models available for NLP, vision, and speech applications.
• Cross-platform support, making it suitable for cloud, edge, and mobile AI applications.
• Seamless integration with AI frameworks like TensorFlow and PyTorch.

To check the installed Paddle version, run: "python -c "import paddle; print(paddle.__version__)"".