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Convolutional Neural Networks (CNNs)

Convolutional Neural Networks_122823A
[Convolutional Neural Networks - Medium]

- Overview

A convolutional neural network (CNN) is a network architecture that uses deep learning to learn from data directly. CNNs are used for image recognition and tasks that involve processing pixel data. They are also effective for classifying audio, time-series, and signal data. 

CNNs are feed-forward neural networks that process data with a grid-like topology. The layers are arranged so that they detect simpler patterns first, such as lines and curves, and more complex patterns further along. As the image data progresses through the layers, it starts to recognize larger elements or shapes of the object. 

CNNs are powerful tools but require millions of labeled data points for training. 


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