ImageNet Inference

To start, run imagenet_inference.py, and verify that the network classifies the images correctly.

python imagenet_inference.py

Your output should look similar to this:

Image 0
miniature poodle: 0.389
toy poodle: 0.223
Bedlington terrier: 0.173
standard poodle: 0.150
komondor: 0.026

Image 1
weasel: 0.331
polecat, fitch, foulmart, foumart, Mustela putorius: 0.280
black-footed ferret, ferret, Mustela nigripes: 0.210
mink: 0.081
Arctic fox, white fox, Alopex lagopus: 0.027

Time: 5.587 seconds