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CoRR, 2016 It has long been recognized that the invariance and equivariance properties of a representation are critically important for success in many vision tasks. In this paper we present Steerable Convolutional Neural Networks, an efficient and flexible class of equivariant convolutional networks.
Taco S. Cohen, Max Welling
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CNN+CNN: Convolutional Decoders for Image Captioning
CoRR, 2018 Image captioning is a challenging task that combines the field of computer vision and natural language processing. A variety of approaches have been proposed to achieve the goal of automatically describing an image, and recurrent neural network (RNN) or long-short term memory (LSTM) based models dominate this field.
Qingzhong Wang, Antoni B. Chan
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Artificial neural networks in cardiology: analysis of graphic data
Бюллетень сибирской медицины, 2022 Aim. To consider application of convolutional neural networks for processing medical images in various fields of cardiology and cardiac surgery using publications from 2016 to 2019 as an example.Materials and methods.
P. S. Onishchenko +2 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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The art of CNN template design [PDF]
, 1999 A practical survey of the design rules of uncoupled and coupled linear CNN templates with binary inputs and outputs is given. The usage and the properties of the different classes of CNN templates are analyzed.
Zarándy, Ákos
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Modern Approaches to Detect and Classify Comment Toxicity Using Neural Networks
Моделирование и анализ информационных систем, 2020 The growth of popularity of online platforms which allow users to communicate with each other, share opinions about various events, and leave comments boosted the development of natural language processing algorithms. Tens of millions of messages per day
Sergey V. Morzhov
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Klasifikasi COVID-19 menggunakan Filter Gabor dan CNN dengan Hyperparameter Tuning
Jurnal Elkomika, 2021 ABSTRAK Penyakit COVID-19 dapat timbul karena berbagai faktor sebab dan akibat, sehingga penyakit ini memiliki efek buruk bagi penderita. Pencitraan CT-Scan memiliki keunggulan dalam memproyeksikan kondisi paru-paru pasien penderita, sehingga dapat ...
AGUS EKO MINARNO +2 more
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CNN-LSTM model architecture (baseline and ours).
, 2022 All CNN-Modules and FCs share weights with each other. The number marked @ is the output channel. Each layer component corresponds to the class diagram in Fig 3. Hyper-parameters not listed use the default values from Fig 3.
Shotaro Kataoka (12822434) +4 more
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