Hopfield Nobel Networks : From Theory to Real-World Applications (100% online)

Speaker : Franck Bardol
Abstract : Want to know the unique potential of Hopfield Nobel Networks? John Hopfield and Geoffrey Hinton's pioneering work laid the foundations for associative memory systems, providing powerful methods for storing and reconstructing patterns in data.
This session will cover the essentials you need to know to understand and effectively implement Hopfield networks, and how they differ from traditional vanilla networks. You'll get hands-on experience with real-world examples (from images 🖼️ to continuous time series ⏱️) and hands-on coding sessions using TensorFlow Keras 💻.
Join us to explore how this physics-inspired network model can be used for cutting-edge AI applications 🌍. Ideal for those who already understand the basics of neural networks and have some familiarity with Keras.
Secure your place and improve your AI skills!
www.nobelprize.org
ps : Talk in french