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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… Expand
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Activation functionAlphaGoApache SparkArtificial neural network
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Broader (1)

Computational neuroscience

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
A survey of the recent architectures of deep convolutional neural networks
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
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Review
2020
Review
2020
Albumentations: fast and flexible image augmentations
Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by… Expand
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Review
2019
Review
2019
A survey on Image Data Augmentation for Deep Learning
Deep convolutional neural networks have performed remarkably well on many Computer Vision tasks. However, these networks are… Expand
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Review
2019
Review
2019
Deep Learning for Audio Signal Processing
Given the recent surge in developments of deep learning, this paper provides a review of the state-of-the-art deep learning… Expand
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Review
2019
Review
2019
Survey on deep learning with class imbalance
The purpose of this study is to examine existing deep learning techniques for addressing class imbalanced data. Effective… Expand
Review
2019
Review
2019
A survey on Deep Learning based bearing fault diagnosis
Abstract Nowadays, Deep Learning is the most attractive research trend in the area of Machine Learning. With the ability of… Expand
Review
2019
Review
2019
FPGA-Based Accelerators of Deep Learning Networks for Learning and Classification: A Review
Due to recent advances in digital technologies, and availability of credible data, an area of artificial intelligence, deep… Expand
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Review
2019
Review
2019
A Survey on Neural Architecture Search
The growing interest in both the automation of machine learning and deep learning has inevitably led to the development of a wide… Expand
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Review
2019
Review
2019
Deep learning for time series classification: a review
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data… Expand
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Review
2019
Review
2019
A review of Convolutional-Neural-Network-based action recognition
Abstract Video action recognition is widely applied in video indexing, intelligent surveillance, multimedia understanding, and… Expand
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