Convolutional Neural Networks (CNNs)
Welcome to the Convolutional Neural Networks guide! CNNs are a class of deep neural networks, most commonly applied to analyzing visual imagery. Inspired by the organization of the animal visual cortex, they shift and scan images with learned filters to capture complex patterns.
Why are CNNs Important?
- Feature Extraction: CNNs automatically and adaptively learn spatial hierarchies of features.
- Applications: They're widely used in image and video recognition, recommender systems, and natural language processing.
Explore More:
Learn about Neural Networks
Introduction to Deep Learning
Understanding Recurrent Neural Networks