Convolutional neural network-based model training method and application system

The invention discloses a model training method based on a convolutional neural network and an application system, and relates to the technical field of artificial intelligence, and the method comprises the steps: carrying out the data preprocessing of data in a data set; constructing a convolutional neural network model; the convolutional neural network model is trained; performing model evaluation by using the verification data set: after each training period is finished, evaluating the performance of the model by using the verification data set, and selecting the model according to performance parameters; and storing the model parameters, the loss value and a verification result, wherein the verification result comprises parameters for evaluating the performance of the model. By training and optimizing the network model, the model is applied to a big data monitoring system, and the efficiency and accuracy of data monitoring are improved. 本发明公开了一种基于卷积神经网络的模型训练方法及应用系统，涉及人工智能技术领域，包括：将数据集中的数据进行数据预处理；构建卷积神经网络模型