Search Results for author: Chunyuan Zhang

Found 6 papers, 0 papers with code

Recursive Least Squares Advantage Actor-Critic Algorithms

no code implementations15 Jan 2022 YuAn Wang, Chunyuan Zhang, Tianzong Yu, Meng Ma

RLSNA2C uses the Kronecker-factored approximation, the RLS method and the natural policy gradient to learn the compatible parameter and the policy parameter.

Computational Efficiency Continuous Control +2

Recursive Least Squares for Training and Pruning Convolutional Neural Networks

no code implementations13 Jan 2022 Tianzong Yu, Chunyuan Zhang, YuAn Wang, Meng Ma, Qi Song

Convolutional neural networks (CNNs) have succeeded in many practical applications.

Recursive Least Squares Policy Control with Echo State Network

no code implementations13 Jan 2022 Chunyuan Zhang, Chao Liu, Qi Song, Jie Zhao

However, limited by the strong correlation among sequential samples of the agent, ESN-based policy control algorithms are difficult to use the recursive least squares (RLS) algorithm to update the ESN's parameters.

Time Series Time Series Analysis

Revisiting Recursive Least Squares for Training Deep Neural Networks

no code implementations7 Sep 2021 Chunyuan Zhang, Qi Song, Hui Zhou, Yigui Ou, Hongyao Deng, Laurence Tianruo Yang

In this paper, to overcome these drawbacks, we propose three novel RLS optimization algorithms for training feedforward neural networks, convolutional neural networks and recurrent neural networks (including long short-term memory networks), by using the error backpropagation and our average-approximation RLS method, together with the equivalent gradients of the linear least squares loss function with respect to the linear outputs of hidden layers.

Towards a Uniform Architecture for the Efficient Implementation of 2D and 3D Deconvolutional Neural Networks on FPGAs

no code implementations6 Mar 2019 Deguang Wang, Junzhong Shen, Mei Wen, Chunyuan Zhang

Three-dimensional deconvolution is widely used in many computer vision applications.

Distributed, Parallel, and Cluster Computing

A Computational Model of the Short-Cut Rule for 2D Shape Decomposition

no code implementations7 Sep 2014 Lei Luo, Chunhua Shen, Xinwang Liu, Chunyuan Zhang

We propose and implement a computational model for the short-cut rule and apply it to the problem of shape decomposition.

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