Neural Networks and Deep Learning
Bachelor of Science in Computer Science · University · Machine Learning
This unit introduces the fundamentals of neural networks and deep learning architectures. Students will gain an understanding of the theoretical concepts and practical applications of these techniques in areas such as computer vision and natural language processing.
Zum Üben gibt es 107 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to neural networks
- Neural network architectures
- Deep learning algorithms
- Applications of neural networks in computer vision
- Applications of neural networks in natural language processing
- Challenges and limitations of neural networks
- Ethical implications of neural networks
Stichworte
- Neural Networks
- Deep Learning
- Machine Learning
- Computer Vision
- Natural Language Processing
- Artificial Intelligence
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks
- TensorFlow
- Keras
- PyTorch