TensorFlow visualization framework

Introduction To do good research or develop good models, we need rich, frequent feedback about what’s going on inside our models during our experiments. That’s the point of running experiments: to get information about how well a model performs—as much information as possible. Making progress is an iterative process or loop: we start with an […]

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