Deep Learning for Natural Language Processing
Completed by #YANG SIWEI ALLEN#
March 13, 2026
21 hours (approximately)
#YANG SIWEI ALLEN#'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: Model Optimization
- Category: Transfer Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: LLM Application
- Category: Embeddings
- Category: Artificial Neural Networks
- Category: Natural Language Processing
- Category: Model Training
- Category: Prompt Engineering
- Category: Large Language Modeling
- Category: Generative Model Architectures
