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#?這個代碼出處?原來的有錯?所以使用了這個博主修改后的代碼?https://www.cnblogs.com/EstherLjy/p/9861034.html
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#?==============================================================================
r“““Simple?transfer?learning?with?Inception?v3?or?Mobilenet?models.

With?support?for?TensorBoard.

This?example?shows?how?to?take?a?Inception?v3?or?Mobilenet?model?trained?on
ImageNet?images?and?train?a?new?top?layer?that?can?recognize?other?classes?of
images.

The?top?layer?receives?as?input?a?2048-dimensional?vector?（1001-dimensional?for
Mobilenet）?for?each?image.?We?train?a?softmax?layer?on?top?of?this
representation.?Assuming?the?softmax?layer?contains?N?labels?this?corresponds
to?learning?N?+?2048*N?（or?1001*N）??model?parameters?corresponding?to?the
learned?biases?and?weights.

Here‘s?an?example?which?assumes?you?have?a?folder?containing?class-named
subfolders?each?full?of?images?for?each?label.?The?example?folder?flower_photos
should?have?a?structure?like?this:

~/flower_photos/daisy/photo1.jpg
~/flower_photos/daisy/photo2.jpg
...
~/flower_photos/rose/anotherphoto77.jpg
...
~/flower_photos/sunflower/somepicture.jpg

The?subfolder?names?are?important?since?they?define?what?label?is?applied?to
each?image?but?the?filenames?themselves?don‘t?matter.?Once?your?images?are
prepared?you?can?run?the?training?with?a?command?like?this:


bash:
bazel?build?tensorflow/examples/image_retraining:retrain?&&?\
bazel-bin/tensorflow/examples/image_retraining/retrain?\
????--image_dir?~/flower_photos


Or?if?you?have?a?pip?installation?of?tensorflow?‘retrain.py‘?can?be?run
without?bazel:

bash:
python?tensorflow/examples/image_retraining/retrain.py?\
????--image_dir?~/flower_photos


You?can?replace?the?image_dir?argument?with?any?folder?containing?subfolders?of
images.?The?label?for?each?image?is?taken?from?the?name?of?the?subfolder?it‘s
in.

This?produces?a?new?model?file?that?can?be?loaded?and?run?by?any?TensorFlow
program?for?example?the?label_image?sample?code.

By?default?this?script?will?use?the?high?accuracy?but?comparatively?large?and
slow?Inception?v3?model?architecture.?It‘s?recommended?that?you?start?with?this
to?validate?that?you?have?gathered?good?training?data?but?if?you?want?to?deploy
on?resource-limited?platforms?you?can?try?the?‘--architecture‘?flag?with?a
Mobilenet?model.?For?example:

bash:
python?tensorflow/examples/image_retraining/retrain.py?\
????--image_