May 2020
Beginner to intermediate
430 pages
10h 39m
English
Content preview from Mastering Computer Vision with TensorFlow 2.x
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The model output and conversion into a frozen graph
So far, we have learned how to upload images in TFRecord format to GCP and then used the SSD MobileNet model to train our custom model for burgers and fries. In this section, we will review the components of the model output and learn how to freeze the model. Freezing the model involves saving the TensorFlow graph and weights in a format that you can use for inference later on. The model output is stored in train folders and contains the following files:
- graph.pbtxt: This is a text file describing the value, list, and shape of every node on the TensorFlow graph
- model.ckpt-xxxx.data-00000-of-00001: This is a binary file indicating the values of all the variable files
- model.ckpt-xxxx.index ...
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