Dropout (neural networks)

Related papers: 20

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Head pose estimation in the wild using Convolutional Neural Networks and adaptive gradient methods

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Deep Tracking: Seeing Beyond Seeing Using Recurrent Neural Networks

Peter Ondrúška, Ingmar Posner

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On Designing Fuzzy Controllers for a Class of Nonlinear Networked Control Systems

Xiefu Jiang, Qing‐Long Han

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Input—Output Approach to Control for Fuzzy Markov Jump Systems With Time-Varying Delays and Uncertain Packet Dropout Rate

Lixian Zhang, Zepeng Ning, Peng Shi

Citations: 144 • 2014

Fruit Image Classification Based on MobileNetV2 with Transfer Learning Technique

Qian Xiang, Xiaodan Wang, Rui Li, Guoling Zhang, Jie Lai, Qingshuang Hu

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Robust and accurate feature selection for humanoid push recovery and classification: deep learning approach

Vijay Bhaskar Semwal, Kaushik Mondal, G. C. Nandi

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Network-based fuzzy control for nonlinear Markov jump systems subject to quantization and dropout compensation

Meng Zhang, Peng Shi, Longhua Ma, Jianping Cai, Hongye Su

Citations: 115 • 2018

Tactile object recognition using deep learning and dropout

Alexander Schmitz, Yusuke Bansho, Kuniaki Noda, Hiroyasu Iwata, Tetsuya Ogata, Shigeki Sugano

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A survey on iterative learning control with randomly varying trial lengths: Model, synthesis, and convergence analysis

Dong Shen, Xuefang Li

Citations: 89 • 2019

Intelligent human action recognition using an ensemble model of evolving deep networks with swarm-based optimization

Li Zhang, Chee Peng Lim, Yonghong Yu

Citations: 59 • 2021

Motivating programming students by problem based learning and LEGO robots

Marianne Lykke, Mayela Coto, Sonia Mora, Niels Vandel, Christian Jantzen

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M-FANet: Multi-Feature Attention Convolutional Neural Network for Motor Imagery Decoding

Yiyang Qin, Banghua Yang, Sixiong Ke, Peng Liu, Fenqi Rong, Xinxing Xia

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A Highly Effective Deep Learning Based Escape Route Recognition Module for Autonomous Robots in Crisis and Emergency Situations

Ricardo Buettner, Hermann Baumgartl

Citations: 37 • 2019

Recurrent Neural Networks for fast and robust vibration-based ground classification on mobile robots

Sebastian Otte, Christian Weiß, Tobias Scherer, Andreas Zell

Citations: 36 • 2016

MC-CIM: Compute-in-Memory With Monte-Carlo Dropouts for Bayesian Edge Intelligence

Priyesh Shukla, Shamma Nasrin, Nastaran Darabi, Wilfred Gomes, Amit Ranjan Trivedi

Citations: 32 • 2022

Uncertainty Estimation for Deep Learning-Based Segmentation of Roads in Synthetic Aperture Radar Imagery

Jarrod Haas, Bernhard Rabus

Citations: 31 • 2021

Image classification of root-trimmed garlic using multi-label and multi-class classification with deep convolutional neural network

Pham Thi Quynh Anh, Dang Quoc Thuyet, Yuichi Kobayashi

Citations: 30 • 2022

Imitation and mirror systems in robots through Deep Modality Blending Networks

M. Yunus Seker, Alper Ahmetoğlu, Yukie Nagai, Minoru Asada, Erhan Öztop, Emre Uğur

Citations: 28 • 2021

Lightweight Unsupervised Deep Loop Closure

Nate Merrill, Guoquan Huang

Citations: 27 • 2018