Research on multi-layer perceptron based on TensorFlow

Xichun Jiang

doi:10.1117/12.3029643

21 June 2024 Research on multi-layer perceptron based on TensorFlow

Xichun Jiang

Proceedings Volume 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024); 131672W (2024) https://doi.org/10.1117/12.3029643
Event: International Conference on Remote Sensing, Mapping and Image Processing (RSMIP 2024), 2024, Xiamen, China

Abstract

This article mainly studies the principle of multilayer perceptron (MLP), including the forward propagation and backward propagation processes, and how to use Tensorflow to implement multilayer perceptron for image recognition. First, we outlined the principle of multilayer perceptron and explained the forward propagation and backward propagation processes in detail. Then, we used Tensorflow to build a multilayer perceptron model and conducted training and testing. Finally, we applied the model to image recognition tasks and achieved good results.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xichun Jiang "Research on multi-layer perceptron based on TensorFlow", Proc. SPIE 13167, International Conference on Remote Sensing, Mapping, and Image Processing (RSMIP 2024), 131672W (21 June 2024); https://doi.org/10.1117/12.3029643

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