Artificial Intelligence
深度卷积神经网络
Deep Convolutional Neural NetworkA class of deep learning models inspired by the organization of the animal visual cortex, utilizing convolutional layers to automatically and adaptively learn spatial hierarchies of features from input data. / 受动物视觉皮层组织启发的一类深度学习模型，利用卷积层自动且自适应地从输入数据中学习特征的层级结构。
- Knowledge type
- 数学理论
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-11-05 22:06:33
Sub-knowledge points
Convolutional LayerPooling LayerFully Connected Layer
Higher-order knowledge points
Main parameters and performance indicators
kernel_size: The size of the sliding window over the input volumestride: The step size for moving the windowactivation: Non-linear function (e.g., ReLU) applied to the output
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsRapid estimation of photon measurement density functions using a deep convolutional neural network for functional near-infrared spectroscopyOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Deep Convolutional Neural Network.
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