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Convolutional neural network

Known as: Max norm constraint, Convolutional neural networks, ConvNet 
In machine learning, a convolutional neural network (CNN, or ConvNet) is a type of feed-forward artificial neural network in which the connectivity… 
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Related topics

Related topics

50 relations
Activation functionAlphaGoApache SparkArtificial neural network

Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Optimizing Loop Operation and Dataflow in FPGA Acceleration of Deep Convolutional Neural Networks
As convolution layers contribute most operations in convolutional neural network (CNN) algorithms, an effective convolution… 
Highly Cited
2016
Highly Cited
2016
A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes
Many studies on the prediction of manufacturing results using sensor signals have been conducted in the field of fault detection… 
Highly Cited
2016
Highly Cited
2016
Subcategory-Aware Convolutional Neural Networks for Object Proposals and Detection
In Convolutional Neural Network (CNN)-based object detection methods, region proposal becomes a bottleneck when objects exhibit… 
Highly Cited
2016
Highly Cited
2016
Hand Gesture Recognition Using Micro-Doppler Signatures With Convolutional Neural Network
In this paper, we investigate the feasibility of recognizing human hand gestures using micro-Doppler signatures measured by… 
Highly Cited
2016
Highly Cited
2016
Combining Fully Convolutional and Recurrent Neural Networks for 3D Biomedical Image Segmentation
Segmentation of 3D images is a fundamental problem in biomedical image analysis. Deep learning (DL) approaches have achieved… 
Highly Cited
2016
Highly Cited
2016
Hardware-oriented Approximation of Convolutional Neural Networks
High computational complexity hinders the widespread usage of Convolutional Neural Networks (CNNs), especially in mobile devices… 
Review
2016
Review
2016
Survey of Convolutional Neural Network
Convolutional Neural Network (CNN) was firstly introduced in Computer Vision for image recognition by LeCun et al . in 1989. Since… 
Highly Cited
2015
Highly Cited
2015
Multi-view Face Detection Using Deep Convolutional Neural Networks
In this paper we consider the problem of multi-view face detection. While there has been significant research on this problem… 
Highly Cited
2015
Highly Cited
2015
Off-the-shelf convolutional neural network features for pulmonary nodule detection in computed tomography scans
Convolutional neural networks (CNNs) have emerged as the most powerful technique for a range of different tasks in computer… 
Highly Cited
2010
Highly Cited
2010
Tiled convolutional neural networks
Convolutional neural networks (CNNs) have been successfully applied to many tasks such as digit and object recognition. Using… 
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