January 2018
Intermediate to advanced
474 pages
10h 23m
English
Content preview from Mastering TensorFlow 1.x
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Inception v3 in TensorFlow
You can follow along with the code in the Jupyter notebook ch-12c_InceptionV3_TensorFlow.
TensorFlow's Inception v3 is trained on 1,001 labels instead of 1,000. Also, the images used for training are pre-processed differently. We showed the preprocessing code in previous sections. Let us dive directly into restoring the Inception v3 model using TensorFlow.
Let us download the checkpoint file for the Inception v3:
# load the inception V3 modelmodel_name='inception_v3'model_url='http://download.tensorflow.org/models/'model_files=['inception_v3_2016_08_28.tar.gz']model_home=os.path.join(models_root,model_name) dsu.download_dataset(source_url=model_url, source_files=model_files, dest_dir = model_home, force=False, ...
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