Machine Learning with TensorFlow 1.x

The key parts

There are three key parts to most machine learning classifiers, which are as follows:

• The training pipeline
• The neural network setup and training outputs
• The usage pipeline

The training pipeline obtains data, stages it, cleanses it, homogenizes it, and puts it in a format acceptable to the neural network. Do not be surprised if the training pipeline takes 80% to 85% of your effort initially—this is the reality of most machine learning work. Generally, the more realistic the training data, the more time spent on the training pipeline. In enterprise settings, the training pipeline might be an ongoing effort being enhanced perpetually. This is especially true as datasets get larger.

The second part, the neural network setup, ...