I used the Inception-library (Tensorflow/models/Inception-tutorial on github), feeding selfmade TFRecord-files to imagenet_train.py, and ended up with a 7Gb directory containing .ckpt and .meta files.
How do i use them to make actual predictions?(also evaluating, testing, testing with actual .jpg files, continue the training)
What would be the next steps?Are there dummy-friendly examples(tutorials)?
[I know there´s a thread with a similar name, but it contains barely a question nor answers.]