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Hopfield Networks Is All You Need - Paper Explained

Offered By: Yannic Kilcher via YouTube

Tags

Transformers Courses Deep Learning Courses Neural Networks Courses Attention Mechanisms Courses

Course Description

Overview

Explore an in-depth analysis of Hopfield Networks and their connection to modern Transformer models in this comprehensive video lecture. Delve into the evolution from binary to continuous Hopfield Networks, examining update rules and energy functions. Discover how the attention mechanism in Transformers relates to Hopfield Network update rules. Investigate Hopfield Attention Layers, conduct theoretical analysis, and explore BERT through the lens of Hopfield Networks. Learn about the application of Hopfield Networks in Immune Repertoire Classification. Gain insights into the learning process of Transformer and BERT models, and understand the potential for improving these architectures using Hopfield network concepts.

Syllabus

- Intro & Overview
- Binary Hopfield Networks
- Continuous Hopfield Networks
- Update Rules & Energy Functions
- Connection to Transformers
- Hopfield Attention Layers
- Theoretical Analysis
- Investigating BERT
- Immune Repertoire Classification


Taught by

Yannic Kilcher

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