Computer engineering machine learning and neural networks : a computer engineering perspective /

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 m...

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Bibliographic Details
Main Authors: Chen, Yiran, 1976- (Author), Li, Hai, 1975- (Author), Yang, Huanrui (Author)
Format: eBook
Language:English
Published: Cham : Springer, [2026]
Series:Engineering Series.
Subjects:
Table of Contents:
  • Introduction
  • Perceptron and back propagation
  • Image feature and 2d convolution
  • Convolutional neural network
  • Efficient neural architecture
  • Recurrent neural network and language models
  • Transfer learning
  • Generative adversarial network gan
  • Automl and neural architecture search
  • Distributed computing and federated learning
  • Summary.