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Convolutional Neural Networks (CNNs) are a type of deep learning (DL) algorithm and a subset of machine learning (ML) intended for image, speech, and audio processing tasks like object recognition and classification. Convolutional layers enable CNNs to automatically extract features from images and audio and use them for classification. Their three primary layer types are as follows:
– Convolutional layer
– Fully-connected (FC) layer
– Pooling layer
Convolutional Neural Networks (CNNs)
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Feb 06, 2026
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