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