https://en.wikipedia.org/wiki/Convolutional_neural_network
Convolutional neural network - Wikipedia
convolutional neural networkwikipedia
https://openreview.net/forum?id=HJzgZ3JCW
Efficient Sparse-Winograd Convolutional Neural Networks | OpenReview
Prune and ReLU in Winograd domain for efficient convolutional neural network
convolutional neural networksefficientsparsewinogradopenreview
https://deepai.org/publication/convolutional-neural-networks-as-2-d-systems
Convolutional Neural Networks as 2-D systems | DeepAI
Mar 6, 2023 - 03/06/23 - This paper introduces a novel representation of convolutional Neural Networks (CNNs) in terms of 2-D dynamical systems. To this en...
convolutional neural networksas 2d systemsdeepai
https://openreview.net/forum?id=nytcN3SMQh
Degradation and plasticity in convolutional neural networks: An investigation of internal...
The architecture and information processing of convolutional neural networks was originally heavily inspired by the biological visual system. In this work, we...
convolutional neural networksan investigationdegradationplasticity
https://www.analyticsvidhya.com/blog/2021/12/intent-classification-with-convolutional-neural-networks/
Intent Classification with Convolutional Neural Networks
Dec 21, 2021 - Intent classification with CNN is where spam and non-spam email classification, detection of hate speech in social media posts.
intent classificationconvolutional neuralnetworks
https://openreview.net/forum?id=S1emzO2LwB&referrer=%5Bthe%20profile%20of%20JunYoung%20Gwak%5D(%2Fprofile%3Fid%3D~JunYoung_Gwak2)
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks | OpenReview
convolutional neural networks4dspatiotemporalconvnets
https://arxiv.org/abs/1606.09375v1
[1606.09375v1] Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
Abstract page for arXiv paper 1606.09375v1: Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
convolutional neural networks
https://www.datacamp.com/ru/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://deepai.org/publication/3d-convolutional-neural-networks-for-stalled-brain-capillary-detection
3D Convolutional Neural Networks for Stalled Brain Capillary Detection | DeepAI
Apr 4, 2021 - 04/04/21 - Adequate blood supply is critical for normal brain function. Brain vasculature dysfunctions such as stalled blood flow in cerebral...
convolutional neural networks3dstalledbraincapillary
https://deepai.org/publication/energy-predictive-models-for-convolutional-neural-networks-on-mobile-platforms
Energy Predictive Models for Convolutional Neural Networks on Mobile Platforms | DeepAI
Apr 10, 2020 - 04/10/20 - Energy use is a key concern when deploying deep learning models on mobile and embedded platforms. Current studies develop energy p...
convolutional neural networkspredictive modelsmobile platformsenergy
https://deepai.org/publication/texture-synthesis-using-convolutional-neural-networks
Texture Synthesis Using Convolutional Neural Networks | DeepAI
May 27, 2015 - 05/27/15 - Here we introduce a new model of natural textures based on the feature spaces of convolutional neural networks optimised for objec...
convolutional neural networkstexture synthesisusingdeepai
https://www.aanda.org/articles/aa/abs/2020/01/aa36185-19/aa36185-19.html
Deriving star cluster parameters with convolutional neural networks - II. Extinction and...
convolutional neural networksstar clusterderivingparameters
https://deepai.org/publication/lipschitz-bounded-1d-convolutional-neural-networks-using-the-cayley-transform-and-the-controllability-gramian
Lipschitz-bounded 1D convolutional neural networks using the Cayley transform and the...
Mar 20, 2023 - 03/20/23 - We establish a layer-wise parameterization for 1D convolutional neural networks (CNNs) with built-in end-to-end robustness guarant...
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https://www.usgs.gov/publications/applications-deep-convolutional-neural-networks-predict-length-circumference-and
Applications of deep convolutional neural networks to predict length, circumference, and weight...
Simple biometric data of fish aid fishery management tasks such as monitoring the structure of fish populations and regulating recreational harvest. While...
convolutional neural networks
https://deepai.org/publication/deeptracker-visualizing-the-training-process-of-convolutional-neural-networks
DeepTracker: Visualizing the Training Process of Convolutional Neural Networks | DeepAI
Aug 26, 2018 - 08/26/18 - Deep convolutional neural networks (CNNs) have achieved remarkable success in various fields. However, training an excellent CNN i...
convolutional neural networksthe trainingvisualizingprocessdeepai
https://www.uni-augsburg.de/en/vkal/explaining-graph-convolutional-neural-networks-pat
Explaining Graph Convolutional Neural Networks: Patient-Specific Subnetworks and Biomarker...
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https://research.google/pubs/generalization-bounds-for-deep-convolutional-neural-networks/
Generalization bounds for deep convolutional neural networks
convolutional neuralgeneralizationboundsdeepnetworks
https://arxiv.org/abs/2210.09560
[2210.09560] A Bayesian Convolutional Neural Network-based Generalized Linear Model
Abstract page for arXiv paper 2210.09560: A Bayesian Convolutional Neural Network-based Generalized Linear Model
convolutional neural network2210bayesian
https://deepai.org/publication/newton-methods-for-convolutional-neural-networks
Newton Methods for Convolutional Neural Networks | DeepAI
Nov 14, 2018 - 11/14/18 - Deep learning involves a difficult non-convex optimization problem, which is often solved by stochastic gradient (SG) methods. Whi...
convolutional neural networksnewtonmethodsdeepai
https://www.datacamp.com/vi/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://deepai.org/publication/multipath-graph-convolutional-neural-networks
Multipath Graph Convolutional Neural Networks | DeepAI
May 4, 2021 - 05/04/21 - Graph convolution networks have recently garnered a lot of attention for representation learning on non-Euclidean feature spaces. ...
convolutional neural networksmultipathgraphdeepai
https://www.easychair.org/publications/preprint/mDGN
Visual Odometry Based on Convolutional Neural Networks for Large-Scale Scenes
convolutional neural networksvisual odometrylarge scalebased
https://openreview.net/forum?id=XTglHJjzQI
Clifford-Steerable Convolutional Neural Networks | OpenReview
convolutional neural networkscliffordopenreview
https://deepai.org/publication/analysis-of-convolutional-neural-network-image-classifiers-in-a-rotationally-symmetric-model
Analysis of convolutional neural network image classifiers in a rotationally symmetric model |...
May 11, 2022 - 05/11/22 - Convolutional neural network image classifiers are defined and the rate of convergence of the misclassification risk of the estima...
convolutional neural network
https://www.coursera.org/learn/convolutional-neural-networks
Convolutional Neural Networks | Coursera
Offered by DeepLearning.AI. In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved ... Enroll for free.
convolutional neural networkscoursera
https://deepai.org/publication/nullhop-a-flexible-convolutional-neural-network-accelerator-based-on-sparse-representations-of-feature-maps
NullHop: A Flexible Convolutional Neural Network Accelerator Based on Sparse Representations of...
Jun 5, 2017 - 06/05/17 - Convolutional neural networks (CNNs) have become the dominant neural network architecture for solving many state-of-the-art (SOA) ...
convolutional neural network
https://www.frontiersin.org/journals/physiology/articles/10.3389/fphys.2025.1596150/full
Frontiers | Heart sound classification based on convolutional neural network with convolutional...
Cardiovascular diseases (CVDs) remain a leading cause of global mortality, underscoring the need for accurate and efficient diagnostic tools. This study pres...
convolutional neural networkheart soundfrontiersclassificationbased
https://easychair.org/publications/preprint/ClKG
Comparison of Two Convolutional Neural Network Models for Automated Classification of Brain Cancer...
convolutional neural network
https://www.coursera.org/learn/packt-deep-learning-convolutional-neural-networks-with-tensorflow-pjnky
Deep Learning: Convolutional Neural Networks with TensorFlow | Coursera
Offered by Packt. Updated in May 2025. This course now features Coursera Coach! A smarter way to learn with interactive, real-time ... Enroll for free.
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https://www.mathworks.com/help/deeplearning/ref/inceptionv3.html
inceptionv3 - (Not recommended) Inception-v3 convolutional neural network - MATLAB
Inception-v3 is a convolutional neural network that is 48 layers deep.
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https://www.frontiersin.org/journals/medicine/articles/10.3389/fmed.2021.628179/full
Frontiers | Evaluation of an Automatic Classification Algorithm Using Convolutional Neural Networks...
Introduction Our aim was to evaluate the performance in clinical research and in clinical routine of a research prototype, called PET Assisted Reporting Syst...
of anclassification algorithmconvolutional neuralfrontiersevaluation
https://www.aanda.org/articles/aa/ref/2018/03/aa31201-17/aa31201-17.html
Deep convolutional neural networks as strong gravitational lens detectors | Astronomy &...
convolutional neural networksgravitational lensdeepstrongdetectors
https://pmc.ncbi.nlm.nih.gov/articles/PMC7692693/
Convolutional Neural Network Classifies Pathological Voice Change in Laryngeal Cancer with High...
Voice changes may be the earliest signs in laryngeal cancer. We investigated whether automated voice signal analysis can be used to distinguish patients with...
convolutional neural networkvoice change
https://deepai.org/publication/two-stream-3d-convolutional-neural-network-for-skeleton-based-action-recognition
Two-Stream 3D Convolutional Neural Network for Skeleton-Based Action Recognition | DeepAI
May 23, 2017 - 05/23/17 - It remains a challenge to efficiently extract spatialtemporal information from skeleton sequences for 3D human action recognition....
convolutional neural network
https://openreview.net/forum?id=H3VgPhAlZWq
Efficient Privacy-Preserving Inference for Convolutional Neural Networks | OpenReview
We improve upon existing methods that achieve privacy-preserving inference on CNNs
convolutional neural networksefficientprivacypreservinginference
https://easychair.org/publications/preprint/b9nc
1D Convolutional Neural Networks for Detecting Atrial Fibrillation
convolutional neural networks1ddetectingatrialfibrillation
https://openreview.net/forum?id=-MK6muf5Ihq
Group Equivariant Convolutional Neural Networks for Color Fundus Images Super-Resolution |...
Proposed a MSRResNet with Group Equivariant Convolution Neural Networks for fundus images super-resolution
convolutional neural networksgroupequivariant
https://aclanthology.org/W17-4118/
A General-Purpose Tagger with Convolutional Neural Networks - ACL Anthology
Xiang Yu, Agnieszka Falenska, Ngoc Thang Vu. Proceedings of the First Workshop on Subword and Character Level Models in NLP. 2017.
convolutional neural networksgeneral purposetaggeraclanthology
https://arxiv.org/abs/2005.05930
[2005.05930] Localized convolutional neural networks for geospatial wind forecasting
Abstract page for arXiv paper 2005.05930: Localized convolutional neural networks for geospatial wind forecasting
convolutional neural networks2005localizedgeospatialwind
https://www.frontiersin.org/journals/applied-mathematics-and-statistics/articles/10.3389/fams.2022.879140/full
Frontiers | Convolutional Neural Networks for Very Low-Dimensional LPV Approximations of...
The control of general nonlinear systems is a challenging task in particular for large-scale models as they occur in the semi-discretization of partial dif...
convolutional neural networksvery lowfrontiers
https://openreview.net/forum?id=SBrZSeeIo6N
Automated Analysis of Mitral Inflow Doppler using Convolutional Neural Networks | OpenReview
The feasibility of using neural networks to fully automate the process of mitral valve inflow measurements.
convolutional neural networksautomated analysismitralinflow
https://openreview.net/forum?id=5GvLyM0taV&referrer=%5Bthe%20profile%20of%20Sai%20Qian%20Zhang%5D(%2Fprofile%3Fid%3D~Sai_Qian_Zhang1)
Adaptive Distributed Convolutional Neural Network Inference at the Network Edge with ADCNN |...
The emergence of the Internet of Things (IoT) has led to a remarkable increase in the volume of data generated at the network edge. In order to support...
convolutional neural networkat the edgeadaptivedistributed
https://aclanthology.org/W15-1506/
Relation Extraction: Perspective from Convolutional Neural Networks - ACL Anthology
Thien Huu Nguyen, Ralph Grishman. Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing. 2015.
convolutional neural networksrelation extractionperspectiveaclanthology
https://deepai.org/publication/a-convolutional-neural-network-based-low-complexity-filter
A Convolutional Neural Network-Based Low Complexity Filter | DeepAI
Sep 6, 2020 - 09/06/20 - Convolutional Neural Network (CNN)-based filters have achieved significant performance in video artifacts reduction. However, the ...
convolutional neural networklow complexitybasedfilterdeepai
https://www.coursera.org/learn/convolutional-neural-networks-tensorflow/reviews
Learner Reviews & Feedback for Convolutional Neural Networks in TensorFlow Course | Coursera
Find helpful learner reviews, feedback, and ratings for Convolutional Neural Networks in TensorFlow from DeepLearning.AI. Read stories and highlights from...
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https://www.mathworks.com/help/deeplearning/ref/darknet19.html
darknet19 - (Not recommended) DarkNet-19 convolutional neural network - MATLAB
DarkNet-19 is a convolutional neural network that is 19 layers deep.
convolutional neural networknot recommendeddarknet19matlab
https://aclanthology.org/W17-7504/
Reference Scope Identification for Citances Using Convolutional Neural Networks - ACL Anthology
Saurav Jha, Aanchal Chaurasia, Akhilesh Sudhakar, Anil Kumar Singh. Proceedings of the 14th International Conference on Natural Language Processing...
convolutional neural networksreferencescopeidentification
https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2021.763479/full
Frontiers | Convolutional Neural Network Models Help Effectively Estimate Legume Coverage in...
Evaluation of legume proportion in grass-legume mixed swards is necessary for breeding and cultivation research of forage. For objective and time-efficient e...
convolutional neural networkfrontiersmodels
https://www.easychair.org/publications/preprint/W6Hh
Towards Robustness of Convolutional Neural Network against Adversarial Examples
convolutional neural networktowardsrobustnessadversarialexamples
https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2022.1007188/full
Frontiers | An improved convolutional neural network for convenient rail damage detection
The long-term operation of a railroad often leads to defects in its rails, axles, fasteners, etc. These problems directly affect the safety of the rail syste...
convolutional neural networkfrontiersimproved
https://www.mdpi.com/1424-8220/23/17/7433
Dense Convolutional Neural Network for Identification of Raman Spectra
The rapid development of cloud computing and deep learning makes the intelligent modes of applications widespread in various fields. The identification of...
convolutional neural networkfor identificationdenseramanspectra
https://openreview.net/forum?id=jgpWXnXdME&referrer=%5Bthe%20profile%20of%20Eldad%20Haber%5D(%2Fprofile%3Fid%3D~Eldad_Haber3)
Advection Augmented Convolutional Neural Networks | OpenReview
Many problems in physical sciences are characterized by the prediction of space-time sequences. Such problems range from weather prediction to the analysis of...
convolutional neural networksadvectionaugmentedopenreview
https://www.tensorflow.org/tutorials/images/cnn?hl=he
Convolutional Neural Network (CNN) | TensorFlow Core
convolutional neural networkcnntensorflowcore
https://pmc.ncbi.nlm.nih.gov/articles/PMC11679432/
Probabilistic Attention Map: A Probabilistic Attention Mechanism for Convolutional Neural Networks...
The attention mechanism is essential to convolutional neural network (CNN) vision backbones used for sensing and imaging systems. Conventional attention...
convolutional neuralprobabilisticattentionmapmechanism
https://openreview.net/forum?id=xqZTapYnEcG
Creating Anthropomorphic Phantoms via Unsupervised Convolutional Neural Networks | OpenReview
Computerized phantoms play an important role in medical imaging research. They can serve as a gold standard for evaluating and optimizing medical imaging...
convolutional neural networkscreatinganthropomorphicphantomsvia
https://github.com/BichenWuUCB/SqueezeSeg
GitHub - BichenWuUCB/SqueezeSeg: Implementation of SqueezeSeg, convolutional neural networks for...
Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation - BichenWuUCB/SqueezeSeg
convolutional neural networksimplementation ofgithub
https://www.datacamp.com/hi/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://www.coursera.org/learn/convolutional-neural-networks/reviews?page=5
Learner Reviews & Feedback for Convolutional Neural Networks Course | Coursera
Find helpful learner reviews, feedback, and ratings for Convolutional Neural Networks from DeepLearning.AI. Read stories and highlights from Coursera learners...
convolutional neural networkslearner reviewsfeedbackcourse
https://www.theseus.fi/handle/10024/171882
Understanding, building and analyzing basic convolutional neural networks - Theseus
convolutional neural networksunderstandingbuildinganalyzingbasic
https://deepai.org/publication/future-automation-engineering-using-structural-graph-convolutional-neural-networks
Future Automation Engineering using Structural Graph Convolutional Neural Networks | DeepAI
Aug 24, 2018 - 08/24/18 - The digitalization of automation engineering generates large quantities of engineering data that is interlinked in knowledge graph...
convolutional neural networksfuture automationengineeringusingstructural
https://arxiv.org/abs/1503.02357
[1503.02357] Context-Dependent Translation Selection Using Convolutional Neural Network
Abstract page for arXiv paper 1503.02357: Context-Dependent Translation Selection Using Convolutional Neural Network
context dependentconvolutional neural1503translationselection
https://www.easychair.org/publications/keyword/nQvQ
Keyword: Convolutional Neural Network
convolutional neuralkeywordnetwork
https://www.theseus.fi/handle/10024/126220
Autonomous Control of a RC Car with a Convolutional Neural Network - Theseus
convolutional neural networkautonomous controlrc car
https://openreview.net/forum?id=3g2HGvz4in&referrer=%5Bthe%20profile%20of%20Bernhard%20Y%20Renard%5D(%2Fprofile%3Fid%3D~Bernhard_Y_Renard1)
Motif Interactions Affect Post-Hoc Interpretability of Genomic Convolutional Neural Networks |...
Post-hoc interpretability methods are commonly used to understand decisions of genomic deep learning models and reveal new biological insights. However,...
post hocconvolutional neuralmotifinteractionsaffect
https://arxiv.org/abs/2210.16215
[2210.16215] Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical...
Abstract page for arXiv paper 2210.16215: Physics-Informed Convolutional Neural Networks for Corruption Removal on Dynamical Systems
convolutional neural networks
https://www.datacamp.com/ko/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://arxiv.org/abs/2104.06918
[2104.06918] A Quantum Convolutional Neural Network on NISQ Devices
Abstract page for arXiv paper 2104.06918: A Quantum Convolutional Neural Network on NISQ Devices
convolutional neural network2104quantumnisqdevices
https://brilliant.org/wiki/convolutional-neural-network/
Convolutional Neural Network | Brilliant Math & Science Wiki
Convolutional neural networks (convnets, CNNs) are a powerful type of neural network that is used primarily for image classification. CNNs were originally...
convolutional neural networkmath sciencebrilliantwiki
https://docs.google.com/presentation/d/1LwTvykcPzDoAzQyAZB4cbP5Lh_czqfBAMGnBddVHbxs/edit?usp=sharing
13 - Computer Vision: Convolutional neural networks - Google Slides
convolutional neural networkscomputer vision13googleslides
https://openreview.net/forum?id=0YiM1yOSUq
A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models |...
In this article, we propose a novel standalone hybrid Spiking-Convolutional Neural Network (SC-NN) model and test on using image inpainting tasks. Our approach...
convolutional neural network
https://arxiv.org/abs/1706.01789
[1706.01789] Deep Alignment Network: A convolutional neural network for robust face alignment
Abstract page for arXiv paper 1706.01789: Deep Alignment Network: A convolutional neural network for robust face alignment
convolutional neural1706deepalignmentnetwork
https://www.coursera.org/courses?query=convolutional+neural+network
Best Convolutional Neural Network Courses & Certificates [2026] | Coursera
Convolutional Neural Network courses can help you learn image classification, object detection, and feature extraction techniques. Compare course options to...
convolutional neural networkbestcoursescertificates2026
https://coggle.it/diagram/Z4epxAv9Lg3rEPhs/t/stanford-cs231n-convolutional-neural-networks
Stanford CS231N - Convolutional Neural Networks - Coggle Diagram
Stanford CS231N - Convolutional Neural Networks - Coggle Diagram: Stanford CS231N - Convolutional Neural Networks
convolutional neural networksstanfordcogglediagram
https://www.datacamp.com/sv/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
convolutional neural networkstensorflow tutorialpythoncnndatacamp
https://openreview.net/forum?id=sjk2IiF9tiY
Convolutional Neural Networks on Manifolds: From Graphs and Back | OpenReview
In recent years, geometric deep learning has gained attraction due to both the need for machine learning on structured data (e.g., graphs) and the increasing...
convolutional neural networksmanifoldsgraphsbackopenreview
https://www.jmlr.org/papers/v22/20-213.html
Transferability of Spectral Graph Convolutional Neural Networks
convolutional neuraltransferabilityspectralgraphnetworks
https://www.mdpi.com/2072-4292/13/13/2457
A Convolutional Neural Network Based on Grouping Structure for Scene Classification
Convolutional neural network (CNN) is capable of automatically extracting image features and has been widely used in remote sensing image classifications....
convolutional neural networkbased
https://www.coursera.org/courses?query=convolutional+neural+network&page=6
Top Convolutional Neural Network Courses - Learn Convolutional Neural Network Online
Convolutional Neural Network courses from top universities and industry leaders. Learn Convolutional Neural Network online with courses like Introduction to...
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https://www.analyticsvidhya.com/blog/2021/08/beginners-guide-to-convolutional-neural-network-with-implementation-in-python/
Convolutional Neural Network with Implementation in Python
May 1, 2025 - Discover the fundamentals of Convolutional Neural Networks (CNN), including their components and how to implement them in Python.
convolutional neural networkimplementationpython
https://dev.to/codeperfectplus/how-do-convolutional-neural-networks-work-58gn
How do Convolutional Neural Networks work? - DEV Community
Today we are going to be talking about Convolutional neural networks that are an important part of... Tagged with machinelearning, computerscience,...
convolutional neural networkshow dodevcommunity
https://wandb.ai/diganta/ECANet-sweep/reports/ECA-Net-Efficient-Channel-Attention-for-Deep-Convolutional-Neural-Networks--VmlldzozODU0NTM
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks
Apr 20, 2021 - Submission for Reproducibility Challenge 2020 for the paper "ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks" by Wang et al....
convolutional neuralecaefficientchannelattention
https://openreview.net/forum?id=_9NsTnTnuo&referrer=%5Bthe%20profile%20of%20Aruni%20RoyChowdhury%5D(%2Fprofile%3Fid%3D~Aruni_RoyChowdhury1)
Bilinear Convolutional Neural Networks for Fine-Grained Visual Recognition | OpenReview
convolutional neural networksfine grainedvisual recognitionbilinearopenreview
https://arxiv.org/abs/2504.20989
[2504.20989] Photonic Quantum Convolutional Neural Networks with Adaptive State Injection
Abstract page for arXiv paper 2504.20989: Photonic Quantum Convolutional Neural Networks with Adaptive State Injection
convolutional neural networksphotonicquantum
https://www.easychair.org/publications/paper/gLM4
Convolutional Neural Networks Application for an Average Thermodynamic Characteristics Calculation...
convolutional neural networksfor anapplicationaveragethermodynamic
https://openreview.net/forum?id=qyHEnFGhTLG&referrer=%5Bthe%20profile%20of%20Xikun%20ZHANG%5D(%2Fprofile%3Fid%3D~Xikun_ZHANG2)
On Dropping Clusters to Regularize Graph Convolutional Neural Networks | OpenReview
Dropout has been widely adopted to regularize graph convolutional networks (GCNs) by randomly zeroing entries of the node feature vectors and obtains promising...
convolutional neural networksdroppingclustersregularizegraph
https://deepai.org/publication/channelnets-compact-and-efficient-convolutional-neural-networks-via-channel-wise-convolutions
ChannelNets: Compact and Efficient Convolutional Neural Networks via Channel-Wise Convolutions |...
Sep 5, 2018 - 09/05/18 - Convolutional neural networks (CNNs) have shown great capability of solving various artificial intelligence tasks. However, the in...
convolutional neural networkscompactefficient
https://openreview.net/forum?id=XrbnSCv4LU
Medical Image Segmentation via Unsupervised Convolutional Neural Network | OpenReview
For the majority of the learning-based segmentation methods, a large quantity of high-quality training data is required. In this paper, we present a novel...
medical image segmentationconvolutional neural networkviaunsupervisedopenreview
https://github.com/sandialabs/bcnn
GitHub - sandialabs/bcnn: 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric...
3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793 - sandialabs/bcnn
convolutional neural networkgithub3dbayesian
https://openreview.net/forum?id=LDuzgy4iOXr
Recurrence along Depth: Deep Convolutional Neural Networks with Recurrent Layer Aggregation |...
A recurrent module is proposed to improve feature learning by reusing information from all previous layers in CNNs.
convolutional neural networksrecurrencealongdepthdeep
https://aclanthology.org/P16-1072/
Bidirectional Recurrent Convolutional Neural Network for Relation Classification - ACL Anthology
Rui Cai, Xiaodong Zhang, Houfeng Wang. Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2016.
convolutional neural networkbidirectionalrecurrentrelationclassification
https://www.coursera.org/learn/convolutional-neural-networks/?authMode=login
Convolutional Neural Networks | Coursera
Offered by DeepLearning.AI. In the fourth course of the Deep Learning Specialization, you will understand how computer vision has evolved ... Enroll for free.
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https://www.easychair.org/publications/preprint/T7Kt/versions
Collection and Classification of Jasmine Rice Germination Using Convolutional Neural Networks:...
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https://www.coursera.org/courses?query=convolutional+neural+network&page=428
Top Convolutional Neural Network Courses - Learn Convolutional Neural Network Online
Convolutional Neural Network courses from top universities and industry leaders. Learn Convolutional Neural Network online with courses like .
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https://www.mdpi.com/2227-7080/13/5/173
Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted...
This study presents a computer-aided diagnostic (CAD) framework that integrates multi-domain features through a hybrid methodology. The system uses several...
convolutional neural networksmulti domainfeatureincorporation
https://aclanthology.org/I17-1017/
Convolutional Neural Network with Word Embeddings for Chinese Word Segmentation - ACL Anthology
Chunqi Wang, Bo Xu. Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers). 2017.
convolutional neural networkword embeddings
https://www.codecademy.com/article/understanding-convolutional-neural-network-cnn-architecture
Understanding Convolutional Neural Network (CNN) Architecture | Codecademy
Learn how a convolutional neural network (CNN) works by understanding its components and architecture using examples.
convolutional neural networkcnn architectureunderstandingcodecademy
https://deepai.org/publication/a-classical-quantum-convolutional-neural-network-for-detecting-pneumonia-from-chest-radiographs
A Classical-Quantum Convolutional Neural Network for Detecting Pneumonia from Chest Radiographs |...
Feb 19, 2022 - 02/19/22 - While many quantum computing techniques for machine learning have been proposed, their performance on real-world datasets remains ...
convolutional neural network
https://openreview.net/forum?id=FVItLat5ii¬eId=sCBMB7O3qw
Identifying Interpretable Features in Convolutional Neural Networks | OpenReview
Single neurons in neural networks are often 'interpretable' in that they represent individual, intuitively meaningful features. However, many neurons exhibit...
convolutional neural networksidentifyingfeaturesopenreview
https://deepai.org/publication/image-question-answering-using-convolutional-neural-network-with-dynamic-parameter-prediction
Image Question Answering using Convolutional Neural Network with Dynamic Parameter Prediction |...
Nov 18, 2015 - 11/18/15 - We tackle image question answering (ImageQA) problem by learning a convolutional neural network (CNN) with a dynamic parameter lay...
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https://www.datacamp.com/zh/tutorial/cnn-tensorflow-python
Python Convolutional Neural Networks (CNN) with TensorFlow Tutorial | DataCamp
Learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework. Follow our step-by-step tutorial with code...
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