Convolutional Neural Networks
Convolutional Neural Networks (CNNs) are a type of artificial neural network designed to process data with grid-like structures, such as images. They excel in image recognition tasks and can identify patterns within large datasets more efficiently than traditional algorithms. CNNs consist of layers that learn increasingly complex features from the input data through convolution and pooling operations. These networks have proven highly effective in applications like facial recognition, self-driving cars, and medical imaging analysis. In this hierarchy, CNNs represent a sophisticated machine learning method within Artificial Intelligence Algorithms, enabling Technology to advance through more precise and powerful artificial intelligence systems.