TensorFlow on Mobile: Tutorial – Towards Data Science

We are going to make an Image Classifier by Retraining the Final (Bottleneck) Layer of the Inception-v3 model and then Optimize the model for your smart devices. I'm pretty sure you already know this step, since you are learning to run the same model on the smartphones. Also to keep this tutorials strictly focused on the Implementing models on the smartphones, I would recommend this quick tutorial Train Inception with Custom Images on CPU So we'd be on the same page and you can start the things in a new directory with a newly trained Model. It will create a new optimized model file tf_files/optimized_graph.pb To reduce the pre-processing of an app and to decrease the size of the library at the same time, tensorflow only supports the subset of operations that are commonly used during inference. Now, just to make sure that whatever graph file we've just created includes the supported operations as follows… To make sure that your new optimized graph is running and the optimize_for_inference file that removes all nodes that aren't needed for a given set of input and outputs and hasn't altered the output of the network.