python - Building a simple image recognition engine by tensorflow cifar10 example -


i make simple engine classify image dataset , asking guide or help.

i have trained dataset , save train model (1000000) , eval 86.6%.

then, here steps follow:

  1. download image , convert tensorflow dataset (i not sure since it's converted bin type

  2. input image on trained model cifar10 , test whether image dog, cat or sth else (print value be... image dog 70% accuracy)

  3. or distribute image folder if input several images.

the whole purpose of visualize process , use in real tensorflow.

i appreciate if @ least give me ref.


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