Deep Learning for Natural Language Processing
Completed by Avinash Kashyap
September 10, 2025
21 hours (approximately)
Avinash Kashyap'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: Prompt Engineering
- Category: Natural Language Processing
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Large Language Modeling
- Category: Model Training
