Deep Learning
Language and Linguistics · General Knowledge · Computational Linguistics
This unit introduces deep learning models, such as recurrent neural networks and transformers, which have revolutionized natural language processing. Students will gain a comprehensive understanding of these models and their applications in various NLP tasks.
Zum Üben gibt es 53 Aufgaben. Jede Antwort bekommt sofort eine Rückmeldung, kostenlos und ohne Anmeldung.
Das gehört dazu
- Introduction to Deep Learning for NLP
- Recurrent Neural Networks (RNNs)
- Long Short-Term Memory (LSTM) Networks
- Gated Recurrent Units (GRUs)
- Transformers
- Attention Mechanisms
- Applications of Deep Learning in NLP
- Machine Translation
- Text Summarization
- Question Answering
- Sentiment Analysis
Stichworte
- Deep Learning
- Natural Language Processing
- Recurrent Neural Networks
- NLP Applications