Convolutional Neural Networks (CNNs)
Machine Learning · Further Education · Deep Learning
This unit introduces Convolutional Neural Networks (CNNs), a type of deep learning model designed for processing grid-like data like images. Students will gain a comprehensive understanding of CNN architectures, their applications in image recognition tasks, and their implementation in various deep learning frameworks.
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Das gehört dazu
- Introduction to Convolutional Neural Networks (CNNs)
- CNN Architectures
- Convolutional Layers
- Pooling Layers
- Fully Connected Layers
- Image Preprocessing for CNNs
- Training and Optimizing CNNs
- Applications of CNNs in Image Recognition
- Object Detection
- Image Classification
- Transfer Learning with CNNs
- Ethical Considerations in CNN-based Image Recognition
Stichworte
- Convolutional Neural Networks
- Image Recognition
- Deep Learning
- Image Processing
- Feature Extraction
- Classification
- Transfer Learning