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What is Overview of Convolutional Neural Networks about?

Convolutional Neural Networks (CNNs) are deep neural networks designed for image analysis, learning spatial hierarchies of features. They consist of key components like convolutional layers, pooling layers, and fully connected layers, which help in reducing parameters and preserving spatial relationships. CNNs are widely used in applications such as image classification, object detection, and medical imaging, but they require large datasets and computational resources.

Author

Majda Elbarkani

Language

EN