Neural Networks
Bachelor of Science in Computer Science · University · Machine Learning
This unit provides an overview of neural networks, including different architectures, activation functions, and training algorithms. Students will gain a comprehensive understanding of the fundamental concepts and applications of neural networks in machine learning.
Zum Üben gibt es 55 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Neural Networks
- Types of Neural Network Architectures
- Activation Functions
- Training Algorithms
- Supervised Learning with Neural Networks
- Unsupervised Learning with Neural Networks
- Applications of Neural Networks
Stichworte
- Neural Networks
- Machine Learning
- Deep Learning
- Artificial Intelligence
- Computer Science
- Supervised Learning
- Unsupervised Learning
- Convolutional Neural Networks
- Recurrent Neural Networks
- Backpropagation
- Gradient Descent