Convolutional Neural Networks (CNNs)
Data Science · University of Applied Sciences · Artificial Intelligence
This unit focuses on Convolutional Neural Networks (CNNs), exploring their architecture, layers, and applications in image recognition and computer vision. Students will gain a deep understanding of how CNNs work and how they can be used to solve real-world problems.
Zum Üben gibt es 59 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Convolutional Neural Networks
- Architecture of CNNs
- Types of Layers in CNNs
- CNNs for Image Recognition
- CNNs for Computer Vision
- Applications of CNNs
- Optimization of CNNs
Stichworte
- Convolutional Neural Networks
- CNN Architecture
- Image Recognition
- Computer Vision
- Deep Learning
- Layers
- Applications