Convolutional Neural Network
Also known as: CNN, ConvNet
A class of deep neural network that uses convolutional filters to automatically extract spatial features from data, originally designed for image processing but now widely applied to sensor data, audio, and video analysis. CNNs identify patterns like edges, textures, and shapes at multiple scales through successive layers of filtering and pooling. In accessibility, CNNs are used in computer vision applications such as object recognition for blind users, sign language recognition, activity recognition from wearable sensors, and automatic image captioning for alt text generation.
Category: Machine Learning · Artificial Intelligence · computer vision
Related: Machine Learning · LSTM · Computer Vision · Object Recognition