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Jascha Sohl-Dickstein

@jaschasd • 29,896 subscribers

Member of the technical staff @ Anthropic. Most (in)famous for inventing diffusion models. AI + physics + neuroscience + dynamics.

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Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.
1:12
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Have you ever done a dense grid search over neural network hyperparameters? Like a *really dense* grid search? It looks like this (!!). Blueish colors correspond to hyperparameters for which training converges, redish colors to hyperparameters for which training diverges.

Jascha Sohl-Dickstein

1,767,493 次观看 • 2 年前

The boundary between trainable and untrainable neural network hyperparameter configurations is *fractal*! And beautiful! Here is a grid search over a different pair of hyperparameters -- this time learning rate and the mean of the parameter initialization distribution.
1:09
jaschasd's profile picture

The boundary between trainable and untrainable neural network hyperparameter configurations is *fractal*! And beautiful! Here is a grid search over a different pair of hyperparameters -- this time learning rate and the mean of the parameter initialization distribution.

Jascha Sohl-Dickstein

250,458 次观看 • 2 年前

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