It starts with the concept of convolution in two dimensions and its justification for its use in deep learning, after which the structure of a convolutional neural network is described. The training ...

A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions — Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise — using a CNN model and ...

In computer vision, convolutional networks (CNNs) often adopts pooling to enlarge receptive field which has the advantage of low computational complexity. However, pooling can cause information loss ...

MicroAlgo Inc. (the "Company" or "MicroAlgo") (NASDAQ: MLGO), they announced today their research on quantum visual computing, exploring the integration of quantum computing with classical ...

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Abstract: Convolutional neural network (CNN) quantization is an efficient model compression technique primarily ... To address this issue, this paper proposes a new method called Convolution Smooth, ...

Furthermore, the method incorporates a two-way convolutional neural network to enhance model performance. Graph convolutional networks (GCNs) represent an important method for extracting structural ...