Coursera
MOOC / Non-credit
0
Introduction to Transformer Models for NLP
About this course
This course provides practical instruction on transformer architectures such as BERT, GPT, and T5. You will learn about attention mechanisms, transfer learning, and model fine-tuning through coding exercises and case studies. By the end, you will be able to build and optimize NLP models for various applications.
C
59/100
CourseAsk score
- What the provider tells you
- 23/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Understand transformer architectures
- Implement attention mechanisms
- Apply transfer learning techniques
- Perform model fine-tuning
- Develop NLP models
Course objectives
- To provide practical instruction on transformer architectures
- To facilitate hands-on coding exercises to solidify learning
Deep Learning
#machine learning
#transfer learning
#nlp
#gpt
#model fine-tuning
#bert
#t5
#coding exercises
#transformer models
#attention mechanisms
$49.00
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