Research on image classification based on Xception and transfer learning
Convolutional neural network(CNN)is widely used in image processing,and classical deep learning models such as AlexNet,VGGNet,ResNet and Xception are trained by CNN on ImageNet dataset.Through transfer learning,the Xception model is used as a pre-trained model,and the convolution basis of the Xception model is used to extract features from the cat and dog data set on Kaggle platform,and TensorFlow framework is used to achieve accurate identification of cat and dog images.
万方数据
维普
