Convolutional Neural Network Model
Convolutional Neural Networks (CNNs) are specialized types of multilayer perceptrons, which are fully connected networks where each neuron in one layer is connected to all neurons in the next layer. CNNs are most commonly used in deep learning for visual image analysis.
They are widely applied in tasks such as image and video recognition, recommender systems, image classification, medical image analysis, language processing, and financial analytics.
Key concepts and applications of CNNs include:
- Receptive Fields in the Visual Cortex
- Neural Abstraction Pyramid
- Depth-Based CNNs
- Electromyography (EMG) Recognition
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