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[DOCX File]Author Guidelines for 8
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The CNN was implemented and trained in Matlab (The Mathworks Inc.) using MatConvNet [18]. The training was performed for 200 epochs with a decreasing learning rate (from 10 -3 to 10 -6 ) with the Adam [19] update and a minibatch size of 100.
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[DOCX File]www.ieeeprojectmadurai.in
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Recent deep learning models have demonstrated strong capabilities for classifying text and non-textcomponents in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation.
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[DOCX File]Paper Title (use style: paper title)
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The concept involves using two deep learning algorithms, namely LSTM and CNN, on different types of features that have been extracted from websites in order to better predict phishing activities. ... The model was developed in Matlab version 9.5 using the deep learning toolbox. For the CNN architecture, there were three categories of data. The ...
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[DOC File]USE BP-NETWORK TO CONSTRUCT COMPOSITE ATTRIBUTE
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In recent years, Convolutional Neural Networks (CNN) [3][4][5] have brought breakthroughs in learning image representations. By training multiple layers of convolutional filters in an end-to-end network, CNNs are capable to generate complex features automatically, which is the prerequisite for most of computer vision tasks such as scene ...
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Architectural Heritage Images Classification Using Deep Learning with CNN. Mohammed Hamzah Abed. Faculty of Computer Science and Information Technology, University of Al-Qadisiyah , Iraq mohammed ...
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[DOCX File]HKU
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Deep learning, which is the most popular artificial intelligence technique, is increasing its effect on many different fields. One of the most important of these areas is medical images. Convolutional Neural Network (CNN), a deep learning method, works successfully on images.
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A basic outline of the deep learning (DL) process and five methods for exploiting DL, with the Convolutional Neural Network (CNN), is presented, as well as a summary of the chapters in this book ...
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Matlab deep learning cnn