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@@ -704,6 +704,10 @@ respectively. Generally speaking, we aim for selecting the number of shards such
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that roughly 1024 images reside in each shard. One this data set is built you
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are ready to train or fine-tune an Inception model on this data set.
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+Note, if you are piggy backing on the flowers retraining scripts, be sure to
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+update `num_classes()` and `num_examples_per_epoch()` in `flowers_data.py`
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+to correspond with your data.
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+
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## Practical Considerations for Training a Model
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The model architecture and training procedure is heavily dependent on the
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Chris Zhang