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    Evaluating models without test data

    Evaluating models without test data

    FromPractical AI: Machine Learning, Data Science

    Start listeningView podcast show

    Evaluating models without test data

    FromPractical AI: Machine Learning, Data Science

    ratings:
    Length:
    45 minutes
    Released:
    Sep 20, 2022
    Format:
    Podcast episode

    Description

    WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.
    Released:
    Sep 20, 2022
    Format:
    Podcast episode

    Titles in the series (100)

    Making artificial intelligence practical, productive, and accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, and more). The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!