Convolutional neural networks (
) are a type of deep learning algorithm that is particularly effective at recognizing patterns and features in images.
There are many
of CNNs, including fully convolutional networks, residual networks, and region-based CNNs
CNNs are composed of multiple
of artificial neural networks, with each layer processing the input data and passing it on to the next layer
of CNNs is the use of convolutional layers, which apply a set of filters to the input data to extract features
CNNs are commonly
for tasks such as image classification, object detection, and facial recognition
amounts of labeled training data in order to learn effectively
CNNs are computationally intensive, and require specialized hardware such as
to run effectively.
Things you should know about NLP