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Convolutional neural network - Wikipedia
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| Property | Content |
|---|---|
| title | Convolutional neural network - Wikipedia |
| type | website |
Headings
| H1 | H2 | H3 | H4 | H5 | H6 |
| 1 | 19 | 40 | 14 | 0 | 0 |
- [H1] Convolutional neural network
- [H2] Contents
- [H2] Architecture
- [H2] History
- [H2] Distinguishing features
- [H2] Building blocks
- [H2] Hyperparameters
- [H2] Translation equivariance and aliasing
- [H2] Evaluation
- [H2] Regularization methods
- [H2] Hierarchical coordinate frames
- [H2] Applications
- [H2] Fine-tuning
- [H2] Human interpretable explanations
- [H2] Related architectures
- [H2] Notable libraries
- [H2] See also
- [H2] Notes
- [H2] References
- [H2] External links
- [H3] Convolutional layers
- [H3] Pooling layers
- [H3] Fully connected layers
- [H3] Receptive field
- [H3] Weights
- [H3] Deconvolutional
- [H3] Receptive fields in the visual cortex
- [H3] Fukushima's analog threshold elements in a vision model
- [H3] Neocognitron, origin of the trainable CNN architecture
- [H3] Convolution in time
- [H3] Time delay neural networks
- [H3] Image recognition with CNNs trained by gradient descent
- [H3] Shift-invariant neural network
- [H3] GPU implementations
- [H3] Convolutional layer
- [H3] Pooling layer
- [H3] ReLU layer
- [H3] Fully connected layer
- [H3] Loss layer
- [H3] Padding
- [H3] Stride
- [H3] Number of filters
- [H3] Filter (or kernel) size
- [H3] Pooling type and size
- [H3] Dilation
- [H3] Empirical
- [H3] Explicit
- [H3] Image recognition
- [H3] Video analysis
- [H3] Natural language processing
- [H3] Animal behavior detection
- [H3] Anomaly detection
- [H3] Drug discovery
- [H3] Checkers game
- [H3] Go
- [H3] Time series forecasting
- [H3] Cultural heritage and 3D-datasets
- [H3] Deep Q-networks
- [H3] Deep belief networks
- [H3] Neural abstraction pyramid
- [H4] Max pooling
- [H4] LeNet-5
- [H4] Local connectivity
- [H4] Spatial arrangement
- [H4] Parameter sharing
- [H4] Channel max pooling
- [H4] Dropout
- [H4] DropConnect
- [H4] Stochastic pooling
- [H4] Artificial data
- [H4] Early stopping
- [H4] Number of parameters
- [H4] Weight decay
- [H4] Max norm constraints
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| "Deep Learning" | Extern | noFollow |
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| ^ | Intern | doFollow |
| "Error Back Propagation with Minimum-Entropy Weights: A Technique for Better Generalization of 2-D Shift-Invariant NNs" | Extern | noFollow |
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| "High Performance Convolutional Neural Networks for Document Processing" | Extern | noFollow |
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| "Large-scale deep unsupervised learning using graphics processors" | Extern | noFollow |
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| "ImageNet Classification with Deep Convolutional Neural Networks" | Extern | noFollow |
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| 2019ITVT...68.3224M | Extern | noFollow |
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| "A Comparison of Pooling Methods for Convolutional Neural Networks" | Extern | noFollow |
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| "A theory of steady-state activity in nerve-fiber networks: I. Definitions and preliminary lemmas" | Extern | noFollow |
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| "Imagenet classification with deep convolutional neural networks" | Extern | noFollow |
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| 2019PatRe..90..172M | Extern | noFollow |
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| "Deep Learning With Conformal Prediction for Hierarchical Analysis of Large-Scale Whole-Slide Tissue Images" | Extern | noFollow |
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| "Dropout: A Simple Way to Prevent Neural Networks from overfitting" | Extern | noFollow |
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| "Dropout: A Simple Way to Prevent Neural Networks from Overfitting" | Extern | noFollow |
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| 10.1016/s0364-0213(79)80008-7 | Extern | noFollow |
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| "The inside story of how AI got good enough to dominate Silicon Valley" | Extern | noFollow |
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| 10.1.1.92.5813 | Extern | noFollow |
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| "A Convolutional Neural Network Approach for Objective Video Quality Assessment" | Extern | noFollow |
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| "ImageNet Large Scale Visual Recognition Competition 2014 (ILSVRC2014)" | Extern | noFollow |
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| 1409.4842 | Extern | noFollow |
| 10.1109/CVPR.2015.7298594 | Extern | noFollow |
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| Russakovsky, Olga | Intern | doFollow |
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| 1409.0575 | Extern | noFollow |
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| "The Face Detection Algorithm Set To Revolutionize Image Search" | Extern | noFollow |
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| 10.1.1.385.4740 | Extern | noFollow |
| 10.1007/978-3-642-25446-8_4 | Extern | noFollow |
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| 2013ITPAM..35..221J | Extern | noFollow |
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| Large-scale video classification with convolutional neural networks | Extern | noFollow |
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| "Segment-Tube: Spatio-Temporal Action Localization in Untrimmed Videos with Per-Frame Segmentation" | Extern | noFollow |
| 2018Senso..18.1657W | Extern | noFollow |
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| "Learning Semantic Representations Using Convolutional Neural Networks for Web Search – Microsoft Research" | Extern | noFollow |
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| A unified architecture for natural language processing: Deep neural networks with multitask learning | Extern | noFollow |
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| 10.1007/S00521-021-06190-5 | Extern | noFollow |
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| "DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels" | Extern | noFollow |
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| "Automated monitoring of honey bees with barcodes and artificial intelligence reveals two distinct social networks from a single affiliative behavior" | Extern | noFollow |
| 2023NatSR..13.1541G | Extern | noFollow |
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| "Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning" | Extern | noFollow |
| 2018PNAS..115E5716N | Extern | noFollow |
| 10.1073/pnas.1719367115 | Extern | noFollow |
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| bioRxiv | Intern | doFollow |
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| "DeepLabCut: markerless pose estimation of user-defined body parts with deep learning" | Extern | noFollow |
| 10.1038/s41593-018-0209-y | Extern | noFollow |
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| "DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning" | Extern | noFollow |
| 2019eLife...847994G | Extern | noFollow |
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| "Publisher Correction: SLEAP: A deep learning system for multi-animal pose tracking" | Extern | noFollow |
| 10.1038/s41592-022-01495-2 | Extern | noFollow |
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| "DeepBehavior: A Deep Learning Toolbox for Automated Analysis of Animal and Human Behavior Imaging Data" | Extern | noFollow |
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| "Toronto startup has a faster way to discover effective medicines" | Extern | noFollow |
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| "Startup Harnesses Supercomputers to Seek Cures" | Extern | noFollow |
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| cs.AI | Extern | noFollow |
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| "AlphaGo – Google DeepMind" | Extern | noFollow |
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| 10.1109/ICDAR.2019.00032 | Extern | noFollow |
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| "CNN based common approach to handwritten character recognition of multiple scripts" | Extern | noFollow |
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| "NIPS 2017" | Extern | noFollow |
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| "Action Recognition by an Attention-Aware Temporal Weighted Convolutional Neural Network" | Extern | noFollow |
| 2018Senso..18.1979W | Extern | noFollow |
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| 2015Natur.518..529M | Extern | noFollow |
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| "Convolutional Deep Belief Networks on CIFAR-10" | Extern | noFollow |
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| 10.1.1.149.6800 | Extern | noFollow |
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| 10.1007/b11963 | Extern | noFollow |
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| "Introduction to Machine Learning, Neural Networks, and Deep Learning" | Extern | noFollow |
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| CS231n: Convolutional Neural Networks for Visual Recognition | Extern | noFollow |
| Stanford | Intern | doFollow |
| vdumoulin/conv_arithmetic: A technical report on convolution arithmetic in the context of deep learning | Extern | noFollow |
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