Neural network architecture search method, system and device and readable storage medium

The invention discloses a neural network architecture search method, system and device and a readable storage medium, and the method comprises the steps: initializing the related parameters of a DARTS network, inputting an image training set into the initialized DARTS network, calculating a loss value according to a target function, calculating the network loss change through employing a second-order Taylor expansion according to gradient information, and obtaining the network loss change. The index saliency is calculated by using a grading index based on synaptic saliency, a connection sensitivity index is adopted to search a neural network architecture to indicate the importance of operation, microarchitecture structure search is defined as network pruning during initialization, operation saliency measurement is adopted in the initialization of the network pruning, and experimental results show that the operation significance of the neural network architecture is improved. The framework is a promising and r