Introduction to Attention-Based Neural Networks
With Janani Ravi
Liked by 122 users
Duration: 2h 11m
Skill level: Intermediate
Released: 10/17/2022
Course details
Attention-based models allow neural networks to focus on the most important features of the input, thus producing better results at the output. In this course, Janani Ravi
explains how recurrent neural networks work and builds and trains two image captioning models one without attention and another using attention models and compares their results. If you have some experience and understanding of how neural networks work and want to see what attention-based models can do for you, check out this course.
Skills you’ll gain
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Meet the instructor
Learner reviews
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Buchhibabu Rachakonda
Buchhibabu Rachakonda
Data Scientist @ Boeing | Generative AI | Gen-AI Trainer (Text and Image) | Speaker | Agentic AI | Prompt engineer | Graph RAG |
Contents
What’s included
- Practice while you learn 1 exercise file
- Test your knowledge 5 quizzes
- Learn on the go Access on tablet and phone
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