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    Quick Start

    Create a project in DLWAY Studio, write or design a model, train it in the browser and export the result.

    Create a project

    Open the Studio and choose New Project. Pick a starting template: TensorFlow.js + WebGPU, Python Data Science, React + TypeScript, or start from an empty project.

    Write or design

    Use the Code Editor to write Python or JavaScript directly, or switch to the Model Builder to assemble a network visually by dragging layers onto the canvas and connecting them.

    python
    import torchimport torch.nn as nn class NeuralNetwork(nn.Module):    def __init__(self):        super().__init__()        self.layers = nn.Sequential(            nn.Linear(784, 512),            nn.ReLU(),            nn.Linear(512, 10),        )     def forward(self, x):        return self.layers(x)

    Train

    Run training from the Code Editor or the Model Builder's Train button. Browser runs use a dedicated worker; when Jupyter · Python is selected, generated native Python executes on the shared remote kernel and streams its output back to the terminal.

    Ship

    Open the Deployment panel to export a quantized model, a browser bundle, or a server wrapper.

    Where to go next