The stripped and quantized model generated in the previous section is still over 20 MB in size. This is because the pre-built Inception v3 model used for retraining is a large-scale deep learning model, with over 25 million parameters, and Inception v3 was not created with a mobile-first goal.
In June 2017, Google released MobileNets v1, a total of 16 mobile-first deep learning models for TensorFlow. These models are only a few MB in size, with 0.47 million to 4.24 million parameters, still achieving decent accuracy (just a bit lower than Inception v3). See its README for more information: https://github.com/tensorflow/models/blob/master/research/slim/nets/mobilenet_v1.md.
The retrain.py script discussed in the previous section also supports retraining based on MobileNet models. Simply run a command like the following:
python tensorflow/examples...
