What are Convolutional Neural Networks?
Convolutional Neural Networks (CNNs) are a class of deep learning algorithms widely used for image recognition, object detection, and other applications in computer vision. They are designed to automatically and adaptively learn spatial hierarchies of features from input data.
Explore more about AI advancements at Tech Discussions.
How CNNs Work
CNNs leverage the mathematical operation of convolution, which blends two functions to produce a third function. In layman's terms, they apply filters to the input to create feature maps and highlight the dominant features of data.
- Input Layer: Accepts image data
- Convolutional Layer: Applies filters to extract features
- Pooling Layer: Reduces dimensionality
- Fully Connected Layer: Connects neurons for comprehensive understanding