Recurrent Neural Networks (RNNs)
Machine Learning · Further Education · Deep Learning
This unit introduces Recurrent Neural Networks (RNNs), a type of deep learning model designed for processing sequential data. Students will learn the architecture, variants, and applications of RNNs, particularly in natural language processing and speech recognition.
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Das gehört dazu
- RNN Architecture
- RNN Variants (LSTM
- GRU)
- Training RNNs (BPTT
- Gradient Clipping)
- RNN Applications in NLP (Machine Translation
- Text Classification)
- RNN Applications in Speech Recognition
- Advantages and Disadvantages of RNNs
Stichworte
- RNN Variants
- Natural Language Processing
- Speech Recognition
- Sequential Data
- Backpropagation Through Time
- Vanishing/Exploding Gradients
- LSTM
- GRU