TY - CHAP
T1 - Memristive LSTM architectures
AU - Adam, Kazybek
AU - Smagulova, Kamilya
AU - James Pappachen, Alex
PY - 2020
Y1 - 2020
N2 - Mainstream standard LSTM architecture that is currently used in Tensorflow library does not use the original architecture. In fact, there are many different architectures of LSTM. One of the more widely used architectures of LSTM is Coupled Input and Forget Gate (CIFG). It is known more as Gated Recurrent Units (GRU). This chapter will introduce the existing architectures of LSTM. Further it will present memristive LSTM architecture implementation in analog hardware. The implementation realizes the standard version of LSTM architecture. Other architecture variations can be easily constructed by rearranging, adding, and deleting the existing analog circuit parts; and adding extra crossbar rows.
AB - Mainstream standard LSTM architecture that is currently used in Tensorflow library does not use the original architecture. In fact, there are many different architectures of LSTM. One of the more widely used architectures of LSTM is Coupled Input and Forget Gate (CIFG). It is known more as Gated Recurrent Units (GRU). This chapter will introduce the existing architectures of LSTM. Further it will present memristive LSTM architecture implementation in analog hardware. The implementation realizes the standard version of LSTM architecture. Other architecture variations can be easily constructed by rearranging, adding, and deleting the existing analog circuit parts; and adding extra crossbar rows.
UR - http://www.scopus.com/inward/record.url?scp=85064745964&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85064745964&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-14524-8_12
DO - 10.1007/978-3-030-14524-8_12
M3 - Chapter
AN - SCOPUS:85064745964
T3 - Modeling and Optimization in Science and Technologies
SP - 155
EP - 167
BT - Modeling and Optimization in Science and Technologies
PB - Springer Verlag
ER -