Artificial Intelligence

    

Design Autoencoder using BSnet (BSautonet)

Authors: Sing Kuang Tan

In this paper, I am going to propose a design for an Autoencoder using BSnet. To take advantage of the BSnet design, the autoencoder will be easy to train with more convex training optimization function. The idea is to develop a simple and standard unsupervised machine learning model that can easily be used on most of the data without label. In the experiment result, the output is subjectively evaluated by a human and it has shown to achieve human level accuracy on denoising the MNIST human handwriting digits dataset.

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[v1] 2022-12-30 03:47:42

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