%0 Book
%A Masoud Daneshtalab
%+ Malardalen University
%A Mehdi Modarressi, (eds)
%+ Department of Electrical and Computer Engineering, University of Tehran%T Hardware Architectures for Deep Learning
%D 2020
%I Institution of Engineering and Technology
%S Materials, Circuits & Devices
%K embedded systems
%K recurrent neural network
%K binary data representations
%K hardware accelerators
%K ultra-low-power IoT smart applications
%K hardware architectures
%K inverter-based memristive neuromorphic circuit
%K low-precision data representation
%K convolutional neural networks
%K error-tolerance
%K stochastic data representations
%K analog accelerators
%K deep learning hardware
%K feedforward models
%K RNN
%K model sparsity
%U https://digital-library.theiet.org/;jsessionid=nslwwbdweqkk.x-iet-live-01content/books/cs/pbcs055e