Computer Engineering ML and Neural Networks by Yiran Chen (.ePUB)+
File Size: 71.5 MB
Computer Engineering Machine Learning and Neural Networks: A Computer Engineering Perspective by Yiran Chen, Hai Li, Huanrui Yang
Requirements: .ePUB, .PDF reader, 71.5 MB | True PDF, True EPUB
Overview: This is the first textbook focusing on practicality of Machine Learning (ML) and deep neural networks (DNN), by introducing methods that enable engineering applications of ML and DNN models. The authors describe many methodologies that are widely used in designing, training, and deploying of these models and discuss their applicability under various contexts. Coverage begins with the basic knowledge of Machine Learning and deep neural networks and their applications in solving practical engineering problems. It then proceeds through a series of computer engineering methods commonly used in developing machine learning and deep neural network models. The book also explains how to improve the training and inference performance in terms of model accuracy, size, runtime, etc. by considering various requirements and availability of data in the applications. Techniques that are widely adopted in both industry and academia are discussed. Tutorials and projects designed to practice the introduced techniques are provided using popular development frameworks of Machine Learning.
Genre: Non-Fiction > Tech & Devices
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