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Training Deep Convolutional Neural Networks with Resistive Cross-Point
  Devices

Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices

22 May 2017
Tayfun Gokmen
M. Onen
W. Haensch
ArXivPDFHTML

Papers citing "Training Deep Convolutional Neural Networks with Resistive Cross-Point Devices"

5 / 5 papers shown
Title
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Analog In-memory Training on General Non-ideal Resistive Elements: The Impact of Response Functions
Zhaoxian Wu
Quan Xian
Tayfun Gokmen
Omobayode Fagbohungbe
Tianyi Chen
91
0
0
17 Feb 2025
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network
  Accelerators
EcoFlow: Efficient Convolutional Dataflows for Low-Power Neural Network Accelerators
Lois Orosa
Skanda Koppula
Yaman Umuroglu
Konstantinos Kanellopoulos
Juan Gómez Luna
Michaela Blott
K. Vissers
O. Mutlu
21
4
0
04 Feb 2022
Neural Network Training with Asymmetric Crosspoint Elements
Neural Network Training with Asymmetric Crosspoint Elements
M. Onen
Tayfun Gokmen
T. Todorov
T. Nowicki
Jesús A. del Alamo
J. Rozen
W. Haensch
Seyoung Kim
18
19
0
31 Jan 2022
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking
  Neural Networks
On-Chip Error-triggered Learning of Multi-layer Memristive Spiking Neural Networks
Melika Payvand
M. Fouda
Fadi J. Kurdahi
A. Eltawil
Emre Neftci
14
29
0
21 Nov 2020
Training LSTM Networks with Resistive Cross-Point Devices
Training LSTM Networks with Resistive Cross-Point Devices
Tayfun Gokmen
M. Rasch
W. Haensch
6
45
0
01 Jun 2018
1