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About Convolution Neural Network
The document provides an overview of Convolutional Neural Networks (CNNs), which are a type of deep learning model commonly used for image recognition and computer vision tasks. It describes the key components or building blocks of a typical CNN, which include convolutional layers that apply learnable filters to input data to extract features, pooling layers that reduce the spatial dimensions of data while retaining important features, activation functions that introduce non-linearity, and fully connected layers at the end of the CNN architecture for classification or regression. CNNs are designed to efficiently extract features from input data while preserving spatial relationships between values.
Detailed Information
| Author: | ['toon town'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 74 |
| Language: | English |
| Format: | |
| Price: | FREE |
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