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I was wondering how to use the SummaryWriter().add_embedding method to visualise neural network representations. I read the docs and saw that all that is necessary to do is to pass a N x D tensor to the function and optionally a list of N labels. Assuming, D>> 3, how can I control which dimensionality reduction method is used to display the plots and its hyperparameters? There seems to be no obvious way to control these through the interface. I was hoping to find out more about this here but the link to the website appears to be broken.
Alex
The text was updated successfully, but these errors were encountered:
Hey,
I was wondering how to use the SummaryWriter().add_embedding method to visualise neural network representations. I read the docs and saw that all that is necessary to do is to pass a N x D tensor to the function and optionally a list of N labels. Assuming, D>> 3, how can I control which dimensionality reduction method is used to display the plots and its hyperparameters? There seems to be no obvious way to control these through the interface. I was hoping to find out more about this here but the link to the website appears to be broken.
Alex
The text was updated successfully, but these errors were encountered: