Deep Learning for Natural Language Processing
Completed by Muhammad Musa
December 18, 2025
21 hours (approximately)
Muhammad Musa'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: Model Optimization
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Large Language Modeling
- Category: Model Training
- Category: Natural Language Processing
- Category: Prompt Engineering
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Generative Model Architectures
