… the recognition accuracy of UAV aerial image, this paper puts forward a kind of convolutional
neural network model based on deep residual net. This model based on deep residual net …

… pet recognition technology based on neural network, which uses Opencv, Pycharm, Python
and neural network to monitor and classify pet faces. The PET images collected in real time …

… convolutional neural network (Convolutional Neural Network, CNN) can automatically extract
features from the image. … realize the hyperspectral image classification with spectral space. …

… of plant image recognition. In this paper, the high spatial resolution grassland plant pictures
are … show that the method of deep convolution neural network based on pre-training model is …

… are able to search and browse large-scale image databases. In this paper, we propose a …
, which is based on Hidden Markov Model (HMM) and Convolutional Neural Network (CNN). …

… To resolve this problem, we propose an automatic sleep scoring method based on multi-…
the use of a deep convolutional neural network (CNN) on raw EEG samples for supervised …

… 所提出的模型基于3D卷积神经网络(3D Convolution Neural Network),将所建立的网络模型
应用于降雨预测的回归问题,并利用合适的指标对模型精度进行评价, 对高精度下特定区域的短时期…