Hopfield Networks: Neural Memory Machines
<p>This article covers Hopfield Networks — recurrent neural networks capable of storing and retrieving multiple memories. We’ll begin with an in-depth conceptual overview, then move to an implementation of Hopfield Networks from scratch in python; here we’ll construct, train, animate, and track various statistics of our network. Finally, we’ll end with examples of the usage of Hopfield Networks in modern-day machine learning problems. Feel free to use the table of contents below to skip to whichever sections are pertinent to your interests. Please reach out if you discover any errors or inconsistencies in this work, or with feedback about how articles such as these can be improved for the future; thank you for your interest!</p>
<p><a href="https://towardsdatascience.com/hopfield-networks-neural-memory-machines-4c94be821073"><strong>Read More</strong></a></p>