哪个 AI 框架更好：TensorFlow 还是 PyTorch？

The development of artificial intelligence has rapidly accelerated over the past decade, with TensorFlow and PyTorch being the two dominant frameworks in discussions. TensorFlow, developed by Google Brain and released in 2015, is designed for large-scale machine learning and production environments, quickly becoming the industry standard for deploying AI systems at scale. In contrast, PyTorch is favored for its flexibility and ease of use, making it popular among researchers and developers. The choice between the two frameworks depends on specific goals and requirements; TensorFlow is more suitable for applications that require large-scale deployment, while PyTorch is ideal for rapid experimentation and research. Understanding the characteristics and applicable scenarios of these frameworks is crucial for developers, startup founders, students, and AI engineers.