Hopfield Networks Courses and Certifications

Yannic Kilcher

Hopfield Networks Is All You Need - Paper Explained

Explores the connection between Hopfield networks and transformer attention, analyzing BERT through this lens and applying Hopfield attention to immune repertoire classification.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Artem Kirsanov

The Physics of Associative Memory - Exploring Hopfield Networks

Explore Hopfield networks, a foundational model of associative memory in neuroscience and machine learning. Learn about network architecture, inference, learning, and limitations.

• YouTube
• 27 minutes
• On-Demand
• Free Video

Harvard CMSA

Modern Hopfield Networks for Novel Transformer Architectures

Explore modern Hopfield Networks and Dense Associative Memory models, understanding their applications in machine learning and the innovative Energy Transformer architecture for computer vision tasks.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

CodeEmporium

Understanding Hopfield Networks - Architecture and Memory Systems

Delve into the foundational concepts of Hopfield Networks, exploring their architecture, memory storage mechanisms, and practical applications in neural network design and associative memory systems.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Artificial Intelligence II - Hands-On Neural Networks (Java)

515 ratings at Udemy

Neural networks, gradient descent and backpropagation algorithms explained step by step

• Udemy
• 3 hours 39 minutes
• On-Demand
• Paid Course

Jeff Heaton

Introduction to Neural Networks for Java

Master neural network programming fundamentals in Java through hands-on implementation of algorithms, backpropagation, genetic algorithms, and real-world applications.

• YouTube
• 6 hours 48 minutes
• On-Demand
• Free Video

Jeff Heaton

Introduction to Neural Networks Programming in C# - 2009

Discover neural network programming fundamentals in C# through hands-on implementation of backpropagation, genetic algorithms, and real-world applications like stock prediction.

• YouTube
• 6 hours 49 minutes
• On-Demand
• Free Video

ScienceClic

The Physics of AI

Explore the physics behind AI and neural networks, from the Ising model to quantum fields, explaining why the 2024 Nobel Prize in Physics recognized artificial intelligence breakthroughs.

• YouTube
• 14 minutes
• On-Demand
• Free Video

Yannic Kilcher

Supermasks in Superposition - Paper Explained

Explore supermasks in neural networks for lifelong learning, tackling catastrophic forgetting and automatic task identification. Learn about mask superpositions, entropy minimization, and innovative extensions.

• YouTube
• 1 hour
• On-Demand
• Free Video

Schmid College, Chapman University

The Perceptron as a Roadmap - From Neuron Structure to Artificial Neural Networks

Explore the evolution of neural networks from biological neurons to machine learning, using the perceptron as a guide. Uncover connections to associative memories, function approximation, and surprising mathematical links.

• YouTube
• 1 hour 25 minutes
• On-Demand
• Free Video

QuICS

Scalable Error Correction Strategies and the Memory Capacity of Open Quantum Neural Networks

Explore quantum error correction strategies, fault-tolerant lattice surgery, and memory capacity of quantum neural networks for scalable quantum computation.

• YouTube
• 1 hour 1 minute
• On-Demand
• Free Video

BPPB Seminar

The Hopfield Network and its Generalizations

Dive into the fundamental concepts of Hopfield Networks and their extended applications in biological physics, exploring key theoretical principles and modern implementations.

• YouTube
• 30 minutes
• On-Demand
• Free Video

CodeEmporium

Evolution of Neural Networks: Zero to Hero

Explore the historical development of neural networks from McCulloch-Pitts neurons to backpropagation, covering key models like perceptrons, ADALINE, Hopfield networks, Boltzmann machines, and multilayer perceptrons.

• YouTube
• 2 hours 23 minutes
• On-Demand
• Free Video

Artificial Neural Networks Theory and Its Applications

Master the fundamentals and advanced concepts of neural networks, from biological foundations to modern architectures like CNN and GAN, with hands-on implementation and practical applications.

• XuetangX
• Finished
• Free Online Course