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: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Generative Model Architectures
- Category: Large Language Modeling
- Category: Model Training
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Prompt Engineering
- Category: Model Optimization
- Category: Natural Language Processing
- Category: Deep Learning
