Many programs written can be embedded in recurrent neural networks (RNNs). Trained RNNs often perform better than manually written algorithms, especially for ill-specified problems. The content delves into detecting program code in messages exchanged between engineers, discussing decision rules and a Python classifier implementing Rule 1. The drawback of hand-tweaking algorithms is highlighted, leading to the suggestion of training an RNN. Detailed explanations of RNN implementation and mathematical representations are provided. The post emphasizes the difficulties in manual algorithm tweaking, proposing neural networks as a solution due to their ability to mimic state machines efficiently.
https://blog.gabornyeki.com/2024-07-my-python-code-is-a-neural-network/