In Live 86, we continued training a decision forest algorithm to classify penguins by species with the
tensorflow_decision_forests Python framework on the Palmer Penguins dataset, we saw how to run TensorFlow inside of Docker and a few tricks to create containers and manage them, and briefly looked at TensorFlow signatures, which are supported by TensorFlow Lite since version 2.7.0 and let us export different named operations in a single model that can be executed in C++, Java, and Python.
Here are links to most of the things we covered.
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See you next week!