Deep Learning for Natural Language Processing
Completed by CHOONG-WAI FU
September 17, 2025
21 hours (approximately)
CHOONG-WAI FU'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: Generative Model Architectures
- Category: Natural Language Processing
- Category: Model Optimization
- Category: Fine-tuning
- Category: Prompt Engineering
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Embeddings
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Large Language Modeling
- Category: Model Training
