Recurrent Neural Networks (RNNs)
Master of Science in Computer Science · University · Machine Learning
This unit introduces Recurrent Neural Networks (RNNs), a type of deep learning model designed to handle sequential data. Students will explore the architecture and different types of RNNs, such as LSTM and GRU, and their applications in natural language processing.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- RNN Architecture
- LSTM and GRU Cells
- Training RNNs
- RNN Applications in Natural Language Processing
- Sequence Generation with RNNs
- Vanishing Gradient Problem
- Bidirectional RNNs
- Attention Mechanisms
Stichworte
- RNN
- LSTM
- GRU
- Natural Language Processing
- Deep Learning
- Backpropagation Through Time
- Sequence Modeling