Summary

In this chapter, you were introduced to the TensorFlow library. You learned how to use it in the Python programming language. You created the building blocks of ANNs (tensors) with various ranks and shapes, performed linear transformations on tensors using TensorFlow, and implemented addition, reshaping, transposition, and multiplication on tensors—all of which are fundamental for understanding the underlying mathematics of ANNs.

In the next chapter, you will improve your understanding of tensors and learn how to load data of various types and pre-process it such that it is appropriate for training ANNs in TensorFlow. You will work with tabular, visual, and textual data, all of which must be pre-processed differently. By working with visual data (that is, images), you will also learn how to use training data in which the size of the training data cannot fit into memory.