This chapter shares with the reader’s information on some miscellaneous topics such as the difference between GPU and CPU processing, and things to consider while implementing machine learning.
More importantly, this chapter covers two important frameworks that the Core ML framework is based on: Accelerate and Metal Performance Shaders (MPS). There are no practical examples of using these two frameworks in code because they are implicitly used while implementing ML using Core ML. However, the chapter covers abstract information on the libraries that these two ...