Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that are used to analyze visual imagery. They are particularly useful for image recognition and classification tasks, as they are able to identify patterns in images that are not easily detected by humans.
Convolutional Neural Networks (CNNs) are a type of deep learning algorithm that are used for image recognition and classification. CNNs are a type of artificial neural network that use convolutional layers to extract features from images. The convolutional layers are used to detect patterns in the input image and the output of the convolutional layers is then used to classify the image. CNNs are used in a variety of applications such as object detection, image segmentation, and image classification. CNNs are also used in natural language processing tasks such as sentiment analysis and text classification. CNNs are a powerful tool for image recognition and classification and have been used to achieve state-of-the-art results in many tasks.