Deep Learning for Natural Language Processing
Completed by Sumik Chakraborty
December 20, 2025
21 hours (approximately)
Sumik Chakraborty'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: Artificial Neural Networks
- Category: LLM Application
- Category: Model Optimization
- Category: Deep Learning
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Embeddings
- Category: Model Training
- Category: Prompt Engineering
- Category: Natural Language Processing
- Category: Large Language Modeling
