@article{1472320,
      author = {Han, Donghyeon, and Yoo, Hoi-Jun,},
      url = {http://library.usi.edu/record/1472320},
      title = {On-chip training NPU -- algorithm, architecture and SoC  design /},
      abstract = {Unlike most available sources that focus on deep neural  network (DNN) inference, this book provides readers with a  single-source reference on the needs, requirements, and  challenges involved with on-device, DNN training  semiconductor and SoC design. The authors include coverage  of the trends and history surrounding the development of  on-device DNN training, as well as on-device training  semiconductors and SoC design examples to facilitate  understanding. Focuses on the requirements and challenges  of on-device deep neural network (DNN) training, rather  than DNN inference; Provides guidelines for on-device, DNN  training semiconductor or System-on-Chip (SoC) design;  Includes on-device training semiconductors and SoC design  examples to facilitate understanding.},
      doi = {https://doi.org/10.1007/978-3-031-34237-0},
      recid = {1472320},
      pages = {1 online resource (xxiii, 237 pages) :},
}