Convolutional Neural Networks (CNNs)
Data Science · Further Education · Deep Learning
This unit introduces Convolutional Neural Networks (CNNs), a powerful type of deep learning model specifically designed for image recognition. Students will gain a comprehensive understanding of CNN architecture, layers, and training techniques, enabling them to apply CNNs to real-world image processing tasks.
Zum Üben gibt es 51 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Convolutional Neural Networks (CNNs)
- CNN Architecture and Layers
- Convolutional Layers
- Pooling Layers
- Activation Functions
- CNN Training
- Backpropagation in CNNs
- CNN Applications
- Image Recognition
- Object Detection
- Facial Recognition
- Transfer Learning
Stichworte
- CNN Architectures