November 2017
Intermediate to advanced
304 pages
6h 58m
English
Content preview from Machine Learning with TensorFlow 1.x
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Setting up the project
In this chapter, we will fine-tune a VGG model that has been trained on ImageNet data with 1,000 classes. We have provided an initial project with a pretrained VGG model and some utility files. You can go ahead and download the code from https://github.com/mlwithtf/mlwithtf/tree/master/chapter_09.
In the folder chapter-09, you will have the following structure:
- data --VGG16.npz - samples_data - production - utils --__init__.py --debug_print.py - README.md
There are two files that you should understand:
- VGG16.npz is the pre-trained model that is exported from the Caffe model. Chapter 11, Going Further - 21 Problems will show you how to create this file from the Caffe model. In this chapter, we will use this as the ...
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