Abstract: While most convolution neural network (CNN)-based approaches for plant disease classification improve accuracy through deeper architectures (stacked convolutional and pooling layers), this ...

Department of Chemistry and Chemical Engineering, Education and Research Center for Smart Energy and Materials, Inha University, Incheon 22212, Republic of Korea ...

With the rapid development of machine learning, Deep Neural Network (DNN) exhibits superior performance in solving complex problems like computer vision and natural language processing compared with ...

Abstract: Using convolutional neural network technology for model compression, the convolutional layer operation speed is improved through multiple row-column parallel computing units in the ...

The series is designed as an accessible introduction for individuals with minimal programming background who wish to develop practical skills in implementing neural networks from first principles and ...

self, conv1_get, size_p1, bp_num1, bp_num2, bp_num3, rate_w=0.2, rate_t=0.2 :param conv1_get: [a,c,d], size, number, step of convolution kernel :param size_p1: pooling size :param bp_num1: units ...