Deep Learning for Natural Language Processing
Completed by Welly Wong
August 9, 2025
21 hours (approximately)
Welly Wong'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: Transfer Learning
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Model Optimization
- Category: Large Language Modeling
- Category: Generative Model Architectures
- Category: Natural Language Processing
- Category: Prompt Engineering
- Category: Model Training
- Category: Deep Learning
