Artificial Neural Networks
Master of Science in Computer Science · University · Machine Learning
This unit introduces the fundamentals of Artificial Neural Networks, covering their structure, activation functions, and training algorithms. Students will gain a comprehensive understanding of the building blocks of Deep Learning models.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Artificial Neural Networks
- Structure of Neural Networks
- Activation Functions
- Training Algorithms
- Supervised Learning
- Unsupervised Learning
- Deep Learning
- Convolutional Neural Networks
- Recurrent Neural Networks
- Applications of Neural Networks
Stichworte
- Neural Networks
- Structure
- Backpropagation