Core Concepts in Deep Learning & AI Algorithms
Convolutional Neural Networks: Concepts & Applications
A Convolutional Neural Network (CNN) is a deep learning algorithm primarily used for image-related tasks. It automatically and adaptively learns spatial hierarchies of features from input images, making it highly effective for visual data processing.
Key Components of a CNN
- Convolutional Layer: Applies filters to extract features such as edges, textures, and patterns.
- Activation Function (ReLU): Introduces non-linearity into the model, allowing it to learn complex relationships.
- Pooling Layer: Reduces the spatial dimensions (width and height) of the feature maps, retaining essential information and reducing computational load.
- Fully Connected Layer: Makes final predictions based on the high-
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