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Missing bottleneck features in Deep Learning dog project #60

Closed wgilpin closed 6 years ago

wgilpin commented 6 years ago

I have VGG16 features in the bottleneck_features directory, but I am required by the project (and rubric) to use VGG-19, ResNet-50, Inception, or Xception. Uploading them is not realistic as they are ~1Gb files each.

wgilpin commented 6 years ago

In the absence of any Udacity feedback I am uploading the file. This is not a very satisfactory situation

fixingitnow commented 6 years ago

You Should be using those models, but aren't expected to upload it. Use of .gitignore to exclude the files that are larger than a certain limit is a good practice.