Liquid Neural Network : A adaptive way to train ML model

<p>Neural networks when trained on some specific distribution of dataset will not work well when it will be tested on some different distribution. This is challenge which is faced by autonomous driving, network traffic management, autonomous drone navigation and in medical field. for example in case of autonomous driving a network which is being trained to work for the road of Europe will not work when we will test them on the road of India. similarly in case of autonomous drone navigation we need a network which can adopt themselves based on the changing environment. i.e. we need a model which can adopt in different scenario even after training.</p> <p><a href="https://ved933409.medium.com/liquid-neural-network-a-adaptive-way-to-train-ml-model-b6922d755066"><strong>Learn More</strong></a></p>