Neural Networks
Master of Science in Computer Science · University · Artificial Intelligence
This unit introduces the fundamentals of neural networks, covering feedforward, convolutional, and recurrent networks. Students will gain a comprehensive understanding of the architectures, algorithms, and applications of neural networks in deep learning.
Zum Üben gibt es 54 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Neural Networks
- Feedforward Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Backpropagation Algorithm
- Activation Functions
- Loss Functions
- Optimization Algorithms
- Regularization Techniques
- Applications of Neural Networks
Stichworte
- Neural Networks
- Deep Learning
- Feedforward Networks
- Backpropagation
- Regularization