Here, we will introduce the general flow of TensorFlow algorithms. Most recipes will follow this outline:
- Import or generate dataset: All of our machine learning algorithms will depend on datasets. In this book, we will either generate data or use an outside source of datasets. Sometimes, it is better to rely on generated data because we just want to know the expected outcome. Most of the time, we will access public datasets for the given recipe. The details on accessing these datasets are in additional resources, section 8 of this chapter.
- Transform and normalize data: Normally, input datasets do not come into the picture. TensorFlow expects that we need to transform TensorFlow so that they get the accepted shape. The data ...
