What is a “convolutional neural network” (CNN) primarily used for?
a) Image recognition and processing
b) Time-series forecasting
c) Text-based analysis
d) Reinforcement learning tasks
Answer:
a) Image recognition and processing
Explanation:
Convolutional Neural Networks (CNNs) are specialized types of neural networks designed for image recognition and processing tasks. They are particularly effective at extracting features from image data, such as edges, textures, and shapes.
CNNs use convolutional layers that apply filters to input data to detect spatial patterns, making them ideal for tasks such as object detection, facial recognition, and image classification.
CNNs have become a standard tool in computer vision applications due to their ability to handle large-scale image datasets and achieve high accuracy in tasks involving visual data.