Deep Learning for Natural Language Processing
Completed by YASH RAMESH MESHRAM
January 14, 2026
21 hours (approximately)
YASH RAMESH MESHRAM'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: Transfer Learning
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Prompt Engineering
- Category: Large Language Modeling
- Category: Model Training
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Natural Language Processing
