4 docs tagged with "CNN"

Convolutional Neural Networks (CNNs) are specialized deep learning architectures that are particularly effective for image processing tasks due to their ability to capture spatial hierarchies in data.

This post explores Convolutional Neural Networks (CNN), a specialized neural network architecture widely used for tasks involving image processing and computer vision.

Build and visualize neural networks with support for feedforward, convolutional, and recurrent architectures. Explore how these models learn from data using backpropagation and gradient descent.

YOLO (You Only Look Once) is a popular deep learning algorithm for real-time object detection that divides images into grid cells and predicts bounding boxes and class probabilities for each cell.