Deep Learning for Natural Language Processing
Completed by Jimut Pal
March 6, 2026
21 hours (approximately)
Jimut Pal'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: Natural Language Processing
- Category: Prompt Engineering
- Category: Model Optimization
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Large Language Modeling
- Category: Model Training
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Embeddings
- Category: Generative Model Architectures
