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Only Visualization of Loss is demonstrated in Tensorboard Scalars Documentation #4901

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worldpeaceaspirer opened this issue Apr 22, 2021 · 2 comments · May be fixed by #4902
Open

Only Visualization of Loss is demonstrated in Tensorboard Scalars Documentation #4901

worldpeaceaspirer opened this issue Apr 22, 2021 · 2 comments · May be fixed by #4902
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@rmothukuru
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core:frontend plugin:scalars stat:awaiting tensorflower type:docs

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@worldpeaceaspirer
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Issue description:

This is an issue to improve documentation of Tensorboard Scalars. In this Tutorial, only visualization of Loss is demonstrated but usually, we visualize Metrics as well (like Accuracy).

So, there can be a mention on how to visualize Metrics.
@rmothukuru rmothukuru self-assigned this Apr 22, 2021
This was referenced Apr 22, 2021
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@rmothukuru rmothukuru linked a pull request Apr 22, 2021 that will close this issue
Update scalars_and_keras.ipynb #4902
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@wchargin
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Hi @worldpeaceaspirer! The TensorBoard Keras callback used in those docs
will automatically log all the metrics that you’re tracking. So, if you
want to track accuracy, just add metrics=["accuracy"] to your model
creation code:

model.compile(
    loss='mse',
    optimizer=keras.optimizers.SGD(lr=0.2),
    metrics=['accuracy'],
)

…and you’ll see epoch_accuracy appear in TensorBoard.

Does this answer your question?

@worldpeaceaspirer
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@wchargin,
Thank you for your response and sorry for the delayed response. My point is, since the purpose of documentation is to guide the community, it will be better to cover all the Cases like Metrics and Loss, instead of just Loss, so that the documentation would be complete.

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@rmothukuru rmothukuru

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Update scalars_and_keras.ipynb tensorflow/tensorboard
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@wchargin @rmothukuru @arghyaganguly @worldpeaceaspirer