1. Introduction to Machine Learning with TensorFlow


In this chapter, you will learn how to create, utilize, and apply linear transformations to the fundamental building blocks of programming with TensorFlow: tensors. You will then utilize tensors to understand the complex concepts associated with neural networks, including tensor reshaping, transposition, and multiplication.


Machine learning (ML) has permeated various aspects of daily life that are unknown to many. From the recommendations of your daily social feeds to the results of your online searches, they are all powered by machine learning algorithms. These algorithms began in research environments solving niche problems, but as their accessibility broadened, ...

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