Deep Learning for Natural Language Processing
Completed by Piotr Leszczynski
September 22, 2026
21 hours (approximately)
Piotr Leszczynski'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: Deep Learning
- Category: Embeddings
- Category: Model Optimization
- Category: Model Training
- Category: Natural Language Processing
- Category: Prompt Engineering
- Category: Large Language Modeling
- Category: Generative Model Architectures
- Category: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Artificial Neural Networks
