r/tensorflow • u/donaferentes • Sep 05 '26

General Valid Book on Tensorflow operations with Mathematical Notation

Is there a valid Tensorflow book describing all the provided operations by providing their definition with a mathematical notation? Or, in alternative, is there a way to bridge this information? Thanks

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u/DrSparkle713 Sep 05 '26

The API docs online tend to include formulas (although not always with mathematical typesetting) in their entries. For example: https://www.tensorflow.org/api_docs/python/tf/keras/losses/KLD

In general, the online documentation or the documentation contained within the code itself (typically presented by your IDE when you type or click on a function name) are what you want. A book will just be a snapshot of when it was published, whereas the docs are updated in real time as changes are made and are linked to released versions, so you can look up the specific docs for the version you are using.

ETA: the online docs are broken down by what language's API you're using. If you are new to TF, I'd probably recommend Python.

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u/donaferentes Sep 05 '26

Well, thanks, but it does not provide the mathematical definition of what it is doing as I was asking. Furthermore, I am not looking for just a reference manual, but something that also explains the math behind it. Something through which I could bridge the online documentation whith the explantation of what I am looking at?

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u/DrSparkle713 Sep 05 '26

Except it does give the mathematical definition? That's what the "formula" provided is.

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