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