Deep Learning for Natural Language Processing
Completed by Aman thakur
October 15, 2025
21 hours (approximately)
Aman thakur'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 Training
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Transfer Learning
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
- Category: Model Optimization
- Category: Large Language Modeling
- Category: Natural Language Processing
- Category: Prompt Engineering
