Convolutional Neural Networks (CNNs)
Master of Science in Computer Science · University · Machine Learning
This unit introduces the architecture, layers, and applications of Convolutional Neural Networks (CNNs) in image recognition. Students will gain a comprehensive understanding of how CNNs work and how to apply them to real-world image recognition tasks.
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Das gehört dazu
- Architecture of Convolutional Neural Networks
- Types of Layers in CNNs
- Applications of CNNs in Image Recognition
- Advantages and Disadvantages of CNNs
- Training CNNs for Image Recognition
- Evaluating the Performance of CNNs
Stichworte
- Convolutional Neural Networks
- CNN Architecture
- CNN Layers
- Image Recognition
- Deep Learning
- Computer Vision
- Pooling
- Activation Functions
- Backpropagation