An Optimally Configured HP-GRU Model Using Hyperband for the Control of Wall Following Robot

Volume: 1, Issue: 1, Pages: 66 - 74
Published: Mar 10, 2021
Abstract
In this paper, we presented an autonomous control framework for the wall following robot using an optimally configured Gated Recurrent Unit (GRU) model with the hyperband algorithm. GRU is popularly known for the time-series or sequence data, and it overcomes the vanishing gradient problem of RNN. GRU also consumes less memory and is computationally more efficient than LSTMs. The selection of hyper-parameters of the GRU model is a complex...
Paper Details
Title
An Optimally Configured HP-GRU Model Using Hyperband for the Control of Wall Following Robot
Published Date
Mar 10, 2021
Volume
1
Issue
1
Pages
66 - 74
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