Juggernaut is an experimental Neural Network, written in Rust. It is a feed-forward neural network that uses gradient descent to fit the model and train the network. Juggernaut enables us to build web applications that can train and evaluate a neural network model in the context of the web browser. This is done without having any servers or backends and without using Javascript to train the model.
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