Attention Mechanism
Collaborators
Reviewers
Total time needed: ~2 hours- Learning Objectives
- , a neural attention mechanism equips a neural network with the ability to focus on a subset of its inputs (or features): it selects specific inputs.
- Potential Use Cases
- The introduction of the Attention Mechanism in deep learning has improved the success of various models in recent years, and continues to be an omnipresent component in state-of-the-art models. Therefore, it is vital that we pay Attention to Attention and how it goes about achieving its effectiveness.
- Target Audience
- INTERMEDIATE
Go through the following annotated items in order:
VIDEO 1. Introduction to RNN
- What is RNN?
10 minutes
LIBRARY 2. RNN from scratch
- How to implement RNN in python from scratch?
20 minutes
ARTICLE 3. What is NLP?
- What is Natural Language Processing (NLP)?
20 minutes
VIDEO 4. Attention model
- What is attention model and what is the math behind it?
10 minutes
ARTICLE 5. How does attention model work?
- How does attention model work?
10 minutes
LIBRARY 6. How to implement attention model in python using Keras
- How to implement attention model in python using Keras?
30 minutes
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MSc Student
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"Best Environment to discuss theory and implementation of the latest in machine learning and to continuously learn."
Susan S.
Data Scientist
"Hands-on and practical exposure to deep learning while working with experts from industry and brilliant members is something that I was missing before finding this platform."
Werner C.
Data Scientist
"I had a hard time keeping up with the latest in machine learning, let alone understanding and applying those concepts, until I found this community."
Emily W.
MSc Student
"Unlike other workshops, this experience included designing more than just machine-learning models. Full end-to-end AI solutions including MLOps was a necessary part of the Capstone. It was incredible to be able to conceptualize, design and build an AI product which resulted in attracting real investors."
Edward J.
Product Manager