Artificial Intelligence

    

Boolean Structured Autoencoder Convolutional Deep Learning Network (BSautoconvnet)

Authors: Sing Kuang Tan

In this paper, I am going to propose a new Boolean Structured Autoencoder Convolutional Deep Learning Network (BSautoconvnet) built on top of BSconvnet, based on the concept of monotone multi-layer Boolean algebra. I have shown that this network has achieved significant improvement in accuracy over an ordinary Relu Autoencoder Convolutional Deep Learning Network with much lesser number of parameters on the CIFAR10 dataset. The model is evaluated by visual inspection of the quality of the reconstructed images against groundtruth with reconstructed images by models in the internet.

Comments: 11 Pages.

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Submission history

[v1] 2023-06-17 01:24:43

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