Deep Learning for Natural Language Processing
Completed by Juliette Ponnet
April 9, 2025
21 hours (approximately)
Juliette Ponnet's account is verified. Coursera certifies their successful completion of Deep Learning for Natural Language Processing
What you will learn
Define feedforward networks, recurrent neural networks, attention, and transformers.
Implement and train feedforward networks, recurrent neural networks, attention, and transformers.
Describe the idea behind transfer learning and frequently used transfer learning algorithms.
Design and implement their own neural network architectures for natural language processing tasks.
Skills you will gain
- Category: Model Optimization
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Generative Model Architectures
- Category: Large Language Modeling
- Category: Model Training
- Category: Prompt Engineering
- Category: Natural Language Processing
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Transfer Learning
