The invention discloses a method and device for using a neural network to correct white balance of images, and belongs to the technical field of digital image processing. The method comprises the steps of 1, collecting an original image; 2, calculating parameter values of color temperature of an ambient light source; 3, preprocessing the original image and an image to be processed to obtain a preprocessed image and a second preprocessed image which are used for training respectively; 4, constructing a convolutional neural network model; 5, training the convolutional neural network model; 6, utilizing the convolutional neural network to calculate and obtain a red channel gain value (gainR) and a blue channel gain value (gainB); 7, utilizing the red channel gain value (gainR) and the blue channel gain value (gainB) to conduct white balance correction on the image to be processed, and obtaining a white balance image after correction. The method solves the technical problem that white balance easily loses efficiency in the prior art, the calculation speed of an algorithm is effectively increased, the accuracy is greatly improved, and the model is very good in robustness.