Juggernaut: Neural Networks in a web browser

FacebookTwitterLinkedInJuggernaut 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. Juggernaut’s developer-friendly API makes it easy to interact with. You can pass a dataset to Juggernaut from a CSV file or simply use … Continue reading Juggernaut: Neural Networks in a web browser