March 2023
Intermediate to advanced
680 pages
13h 44m
English
This part is devoted to studying different quantum machine learning models. You will learn how to implement and run Quantum Support Vector Machines and Quantum Neural Networks, and how to combine them with classical models to obtain interesting architectures, such as Quantum Generative Adversarial Networks.
This part includes the following chapters:
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