Hello Zakariyya, Good! Thanks!
I'll for sure give it a try. I want to test TensorFlow since some time now. But you didn’t tell us, on which operating system/arch dit it supposed to work on? Regards, __ Greg Le mer. 1 févr. 2023 à 15:49, Zakariyya Mughal <[email protected]> a écrit : > Hello, > > I have created some notebooks to demonstrate using the new libtensorflow > bindings <https://metacpan.org/pod/AI::TensorFlow::Libtensorflow>. > > The notebooks use PDL to convert the PDL ndarrays into the TensorFlow > TFTensor data structure. This is meant to be a low-level binding for now > and as such these conversions are not built into the binding. Higher > level bindings on top of this are planned which will help with making it > easier to create new custom models and running inference on models. > > They are available as POD as linked from here < > https://metacpan.org/dist/AI-TensorFlow-Libtensorflow/view/lib/AI/TensorFlow/Libtensorflow/Manual/Quickstart.pod#TUTORIALS > >, > but it is best to view them in their source format at > > - Image classification demo < > https://nbviewer.org/github/EntropyOrg/perl-AI-TensorFlow-Libtensorflow/blob/master/notebook/InferenceUsingTFHubMobileNetV2Model.ipynb > > > > - Gene expression prediction demo < > https://nbviewer.org/github/EntropyOrg/perl-AI-TensorFlow-Libtensorflow/blob/master/notebook/InferenceUsingTFHubEnformerGeneExprPredModel.ipynb > > > > As described on the Quickstart page, the code dependencies to run these > notebooks are built as Docker images. > > Best regards, > - Zakariyya Mughal > > > _______________________________________________ > pdl-general mailing list > [email protected] > https://lists.sourceforge.net/lists/listinfo/pdl-general >
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