Learning to Execute

"Learning to Execute" is a deep learning technique aimed at enabling neural network models to understand and execute computer code. The goal of this technology is to enhance the model's comprehension of programming languages, thereby achieving functions such as automatic code generation, error detection, and optimization. It has significant application value in fields like software development, automated testing, and code maintenance, capable of notably improving development efficiency and code quality.