[Lecture Notes in Electrical Engineering] Advances in Computer Science and Ubiquitous Computing Volume 474 || Convolutional Neural Network Based Serial Number Recognition Method for Indian Rupee BanknotesThe re
Mahamud, F.et al.Bell Pepper Leaf Disease Classification Using Convolutional Neural Network. Lecture Notes in Networks and SystemsVol. 569 (Springer, 2023). Google Scholar Download references Funding Authors declare no funding for this research. ...
A convolutional neural network (CNN) is an important and widely utilized part of the artificial neural network (ANN) for computer vision, mostly used in the pattern recognition system. The most important applications of CNN are medical image analysis, image classification, object recognition from vid...
Neural network-based machine learning has recently proven successful for many complex applications ranging from image recognition to precision medicine. However, its direct application to problems in quantum physics is challenging due to the exponential complexity of many-body systems. Motivated by recent...
这个课程重点介绍了deep learning里的一种比较流行的模型:Convolutional Neural Networks,简称CNN,主要利用CNN来做visual recognition,或者说是image classification,object recognition等。我自己在学习的过程中,一边翻译一边总结,整理出这些中文版的lecture notes,英文好的同学可以直接看原文,课程的网址是:...
. For example, the video lecture showed a face recognition video (https://www.youtube.com/watch?v=wr4rx0Spihs) of Baidu employees entering the office without needing to otherwise identify themselves. This is a 1:K matching problem. FaceNet learns a neural network that encodes a face image...
RNN Recurrent neural network SARIMA Seasonal autoregressive integrated moving average model SN Seasonal naive forecast Keywords Deep learning LSTM SARIMA Temperature forecasts 1. Introduction Short-term temperature forecasts are required in many applications. Demand for such estimates has especially increased in...
The approach fuses the Recurrent Neural Network (RNN) with the Convolutional Neural Network (CNN). The CTPN, which uses RNN and CNN, is shown to work reliably on multi-scale and multi-language text. The approach does not need the post-processing steps compared to the previous approaches. In...
练习内容:UFLDL:Exercise: Convolutional Neural Network。利用卷积神经网络实现数字分类。该神经网络有2层,第一层是卷积和子采样层,第二层是全连接层。即:本节的网络结构为:一个卷积层+一个pooling层+一个softmax层。本节练习中,输入图像为28*28,卷积核大小为9*9,卷积层特征个数(即:卷积核个数)为20个,池化...
et al. Bell Pepper Leaf Disease Classification Using Convolutional Neural Network. Lecture Notes in Networks and Systems Vol. 569 (Springer, 2023). Author contributions Y.A.B.: conceptualization, methodology, software, writing—original draft preparation, visualization. A.O.S.: data curation, ...