Wimi Works On A Cnn-based Image Feature Extraction Algorithm To Tap The Value Of Image Data

WiMi Hologram Cloud Inc. has announced the application of convolutional neural networks (CNNs) to image feature extraction and the development of the CNN-based image feature extraction algorithm. This algorithm exploits the local connectivity and weight-sharing features of CNNs to automatically extract different image features of the same image by training with many other convolutional kernel parameters during image processing. The pooling operation can significantly reduce the number of training parameters, facilitate the feature map size, simplify the network model, and improve the training efficiency.