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Everything about Pooling layer
Architectural motif in neural networks for aggregating information
In neural networks, a pooling layer is a kind of network layer that downsamples and aggregates information that is dispersed among many vectors into fewer vectors. It has several uses. It removes redundant information, thus reducing the amount of computation and memory required, which makes the model more robust to small variations in the input; and it increases the receptive field of neurons in later layers in the network. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Pooling layerA 5-minute orientation
- Skim a recent paper: A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic PoolingInfluential work since 2022
- Pick up a classic book: Chemical Process SafetyThe most-reprinted book on the subject
- Read the landmark paper: Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average poolingCited 94 times
- Go sideways: Algebraic signal processingA closely related topic
- Go sideways: Capsule neural networkA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Teeth category classification via seven‐layer deep convolutional neural network with max pooling and global average pooling
Multimodal Cross-Layer Bilinear Pooling for RGBT Tracking
RunPool: A Dynamic Pooling Layer for Convolution Neural Network
Cross-Convolutional-Layer Pooling for Image Recognition
REMAP: Multi-Layer Entropy-Guided Pooling of Dense CNN Features for Image Retrieval
A Novel CNN pooling layer for breast cancer segmentation and classification from thermograms
EDS pooling layer
Convolutional Neural Networks: A Roundup and Benchmark of Their Pooling Layer Variants
🆕 Influential since 2022
A Seven-Layer Convolutional Neural Network for Chest CT-Based COVID-19 Diagnosis Using Stochastic Pooling
Convolutional Neural Networks: A Comprehensive Evaluation and Benchmarking of Pooling Layer Variants
Global Entropy Pooling layer for Convolutional Neural Networks
Texture and Materials Image Classification Based on Wavelet Pooling Layer in CNN
A deep CNN architecture with novel pooling layer applied to two Sudanese Arabic sentiment data sets
📚 Books worth reading
Chemical Process SafetyDaniel A. Crowl, Joseph F. Louvar · 1989
Cartesian meditationsEdmund Husserl, Dorion Cairns · 1960
TCP/IP IllustratedW. Richard Stevens, Kevin R. Fall · 1993- 📕Heat and Mass TransferAnthony Mills · 2017
Deep oceansEllen Labrecque · 2014- 📕Pool-boiling enhancement and liquid choking limits within and above a modulated porous-layer coatingScott Gayton Liter · 2000
Pattern recognition and image analysisEarl Gose · 1996- 📕The home lighting effects bibleLucy Martin · 2010
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
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