Part III: Deep Liquid Time Neural Network in NeuralStart

The Liquid Neural Network, or LNN, is a deep learning approach heavily inspired by the functioning of the biological brain. This network is designed to mimic how biological neural networks interact and adapt to incoming signals. Here’s an in-depth explanation of how it works and its relevance to NeuralStart: Concept and Continuous Learning: The central idea of the LNN is to simulate an artificial neural network in a liquid manner. In an LNN, connections between neurons are constantly changing, enabling continuous learning. At each moment, the network adapts based on incoming data, making it incredibly flexible and capable of tracking changing brain activity patterns in NeuralStart users. <a href="https://medium.com/@charles.hajjar.pro/part-iii-deep-liquid-time-neural-network-in-neuralstart-4fd07209dab0">Read More</a>