Deep Learning for Natural Language Processing
Completed by Samuel Josue Freire Tarazona
August 3, 2025
21 hours (approximately)
Samuel Josue Freire Tarazona'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: Fine-tuning
- Category: Recurrent Neural Networks (RNNs)
- Category: Transfer Learning
- Category: Model Optimization
- Category: Generative Model Architectures
- Category: Deep Learning
- Category: Artificial Neural Networks
- Category: Embeddings
- Category: Prompt Engineering
- Category: Natural Language Processing
- Category: Large Language Modeling
- Category: Model Training
