Archives for liquid neural networks
In liquid neural networks, the parameters change over time, based on the results of a nested set of differential equations, which essentially means it understands new tasks by itself, and thus does not require vast amounts of training.
The post Can LNNs Replace Transformers? appeared first on Analytics India Magazine.
The researchers at the Massachusetts Institute of Technology (MIT) have developed ‘liquid network’, a neural network that can learn on the job. Liquid networks can continuously adapt to new data inputs in real-time to anticipate future behaviour enabling algorithms to make decisions based on data streams that change over time. Below, we dig into how…
The post Liquid Neural Network: What’s A Worm Got To Do With It? appeared first on Analytics India Magazine.