Neural Networks
Computer Science · University of Applied Sciences · Artificial Intelligence
This unit introduces the fundamentals of neural networks, including their architecture and training algorithms. Students will gain a comprehensive understanding of how neural networks learn and make predictions, and how they can be applied to solve real-world problems.
Zum Üben gibt es 57 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to neural networks
- Types of neural networks
- Neural network architectures
- Neural network training algorithms
- Applications of neural networks
- Challenges of using neural networks
- Ethical implications of using neural networks
- Future of neural networks
Stichworte
- Neural Networks
- Deep Learning
- Artificial Intelligence
- Machine Learning
- Computer Science
- Supervised Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Recurrent Neural Networks
- Natural Language Processing
- Computer Vision