New ML online training tutorial #176
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Codecov Report
@@ Coverage Diff @@
## develop #176 +/- ##
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+ Coverage 81.20% 81.43% +0.23%
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Files 57 57
Lines 2910 2968 +58
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+ Hits 2363 2417 +54
- Misses 547 551 +4
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Spartee
approved these changes
Mar 25, 2022
| input_names = [x.name.split(":")[0] for x in frozen_func.inputs] | ||
| output_names = [x.name.split(":")[0] for x in frozen_func.outputs] | ||
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| model_serialized = frozen_func.graph.as_graph_def().SerializeToString(deterministic=True) |
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should this be an option? I'm guessing no but want to be sure.
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Added a test for the new function, coverage is stable (small increase). |
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This PR substitutes the old ML training tutorials with a new one.
The major features of this tutorial:
The whole training is performed in Keras, the PyTorch version will be ready soon.