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)
SHARE
Related Links
In the fast-paced world of marketing, precise targeting and actionable insights are essential. Campaign managers often…
E-commerce platforms are fast-paced and handle a huge number of transactions. Based on our engagement with…
