Machine Learning with TensorFlow 1.x

Automating the training data setup

Ideally, we will want the entire process automated. This way, we can easily run the process end to end on any computer we use without having to carry around ancillary assets. This will be important later, as we will often develop on one computer (our development machine) and deploy on a different machine (our production server).

I have already written the code for this chapter, as well as all the other chapters; it is available at https://github.com/mlwithtf/MLwithTF. Our approach will be to rewrite it together while understanding it. Some straightforward parts, such as this, may be skipped. I recommend forking the repository and cloning a local copy for your projects:

cd ~/workdir
git clone https://github.com/mlwithtf/MLwithTF ...