Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
Research output: Contribution to conference › Paper › Research › peer-review
Standard
Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. / Florescu, Ciprian; Igel, Christian.
2018. Paper presented at International Conference on Learning Representations, Vancouver, Canada.Research output: Contribution to conference › Paper › Research › peer-review
Harvard
Florescu, C & Igel, C 2018, 'Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow', Paper presented at International Conference on Learning Representations, Vancouver, Canada, 30/04/2018 - 03/05/2018.
APA
Florescu, C., & Igel, C. (2018). Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. Paper presented at International Conference on Learning Representations, Vancouver, Canada.
Vancouver
Florescu C, Igel C. Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow. 2018. Paper presented at International Conference on Learning Representations, Vancouver, Canada.
Author
Bibtex
@conference{6fad1eceaefa4284b3c06d6b9aff0aeb,
title = "Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow",
author = "Ciprian Florescu and Christian Igel",
year = "2018",
language = "English",
note = "International Conference on Learning Representations : Workshop, ICLR ; Conference date: 30-04-2018 Through 03-05-2018",
url = "https://iclr.cc/",
}
RIS
TY - CONF
T1 - Resilient Backpropagation (Rprop) for Batch-learning in TensorFlow
AU - Florescu, Ciprian
AU - Igel, Christian
N1 - Conference code: 6
PY - 2018
Y1 - 2018
UR - https://openreview.net/forum?id=r1R0o7yDz
M3 - Paper
T2 - International Conference on Learning Representations
Y2 - 30 April 2018 through 3 May 2018
ER -
ID: 193489728