Results 31 to 40 of about 5,285,158 (212)
CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization [PDF]
IEEE Transactions on Visualization and Computer Graphics, 2021 11 pages, 14 figures, to be presented at IEEE VIS 2020. For a demo video, see https://youtu.be/HnWIHWFbuUQ . For a live demo, visit https://poloclub.github.io/cnn-explainer/
Zijie J. Wang +7 more
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CNN-LSTM neural network architecture.
, 2021 CNN-LSTM neural network architecture.
Hyun-Koo Kang (11307727) +5 more
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Traffic sign recognition algorithm based on improved convolution neural network
上海师范大学学报. 自然科学版, 2018 For the problem of low traffic sign recognition rate due to gradient diffusion in convolution neural network(CNN), an improved convolution neural network was proposed.
ZHU Yongjia, ZHANG Jing
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A Helium Speech Unscrambling Algorithm Based on Deep Learning
Information, 2023 Helium speech, the language spoken by divers in the deep sea who breathe a high-pressure helium–oxygen mixture, is almost unintelligible. To accurately unscramble helium speech, a neural network based on deep learning is proposed.
Yonghong Chen, Shibing Zhang
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Convolutional Neural Network (CNN): A comprehensive overview
International Journal of Multidisciplinary Research and Growth Evaluation, 2022 Convolutional neural network (CNN), a class of artificial neural network (ANN) is attracting interests of researchers in all research domain. CNN was invented for computer vision. They have also shown to be useful for semantic parsing, sentence modeling and other natural language processing related tasks. Here in this paper we discuss the basics of CNN
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A-CNN: Annularly Convolutional Neural Networks on Point Clouds [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 Analyzing the geometric and semantic properties of 3D point clouds through the deep networks is still challenging due to the irregularity and sparsity of samplings of their geometric structures. This paper presents a new method to define and compute convolution directly on 3D point clouds by the proposed annular convolution.
Artem Komarichev +2 more
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, 2022 Basic architecture of the Convolutional Neural Network (CNN) with two convolution and pooling layers.
Neville Sweijd (12431677) +2 more
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IET Radar, Sonar & Navigation, 2022 Convolution neural networks (CNNs) represent one of the workhorses of artificial intelligence applications. As a typical artificial intelligence application, a high‐resolution range profile (HRRP) target recognition method based on CNNs has aroused a lot
Qian Xiang +5 more
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Understanding of Convolutional Neural Network (CNN): A Review
International Journal of Robotics and Control Systems, 2023 The application of deep learning technology has increased rapidly in recent years. Technologies in deep learning increasingly emulate natural human abilities, such as knowledge learning, problem-solving, and decision-making. In general, deep learning can carry out self-training without repetitive programming by humans.
Purwono Purwono +5 more
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Klasifikasi Jenis Penyakit Pada Daun Pisang Menggunakan Convolution Neural Network (CNN) Model Arsitektur Googlenet [PDF]
, 2023 Petani pada umumnya mengidentifikasi jenis hama penyakit pada daun pisang dilihat berdasarkan ukuran, bentuk, dan warna pada daunnya saja. Penelitian ini menggunakan algoritma Convolution Neural Network (CNN) Arsitektur GoogleNet untuk melakukan ...
Nuril Arifin, 201969040039
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