Deep Learning for Natural Language Processing
Completed by Surajeet Dev
December 4, 2025
21 hours (approximately)
Surajeet Dev'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: Embeddings
- Category: LLM Application
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Generative Model Architectures
- Category: Prompt Engineering
- Category: Model Optimization
- Category: Natural Language Processing
- Category: Large Language Modeling
