Atlas – Interactively Visualizing the Loss Landscape of Neural Nets
Atlas – Interactively Visualizing the Loss Landscape of Neural Nets launched on May 13, 2019 with 61 votes, #801 of 3,072 launches that month and more than 90% of that year's launches.
In plain words
Atlas is a visualization tool that helps researchers and developers interactively explore the loss landscape of neural networks. It allows users to see how a neural network's performance varies across different parameter configurations, making it easier to understand model behavior and identify potential improvements. The tool is designed for machine learning practitioners who need to analyze and debug neural network training.
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Embedding Atlas2025 · apple.github.io · ▲150Hey HN, we're happy to release Mycelium, a JavaScript library for creating graph visualizations of machine learning models or any other directed acyclic graphs. Mycelium powers the graph viewer of the Talaria [0] a research model visualization and optimization system, which was used to optimize the efficiency of Apple Foundation Models [1]. Everything works entirely on the client-side in the browser — we provide a rudimentary ONNX loader out of the box, which you can try by dragging model files into our website. It is also simple to define loaders for your own model formats. The library was…
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