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Machine learning in practice – from PyTorch model to Kubeflow in the cloud for BigData
Machine learning in practice – from PyTorch model to Kubeflow in the cloud for BigData
About the book
The book is structured like a textbook – from simple to complex. The reader will be able to:
* in the first three chapters, create the simplest neural network for image recognition and classification,
* in the following – to delve into the device and architecture for optimization,
* further expand the understanding of the company's ecosystem as a whole, in which neural networks operate, as its integral part,
and she interacts with and uses surrounding technologies,
* finish the study by deploying a full-scale production system in the full-cycle cloud.
Almost every chapter begins with the general information needed for the practical part that follows. In the practical part:
* demonstrates the process of preparing the environment, but more often free ready-made cloud services are used,
* demonstrates the writing process when with a parsing of the written and an overview of alternative solutions,
* analysis of the result and the formation of a vision of options for further development.