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11 November 2021 Formulation of precise short neural network code
Syeda Sadia Rubab, Ma Tian, Rehmat Bashir, Syed Agha Hassnain Mohsan
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Proceedings Volume 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence; 120760T (2021) https://doi.org/10.1117/12.2613594
Event: Fourth International Conference on Image, Video Processing, and Artificial Intelligence (IVPAI 2021), 2021, Shanghai, China
Abstract
In Deep Learning Artificial Neural Network is a comprehensive and mathematical way of explaining a simple 2-layered neural network by coding one from scratch in python and behind the scenes of such popular algorithms. First, we provided with a rationale view of the study behind the elaboration of these algorithms and mathematical intuition behind them. Then, we dived into the coding of neural network mixing python lines of code and mathematical equations. In this research, we created a two-layered neural network with a hidden layer to minimize time and effort resulting with more accurate and efficient output, but the idea remains the same for more than two-layered neural networks. Finally, we worked on how we could publicize our model and make it more adaptable for solving complex real-life issues and our experimental results showed that our 2-layered network model could achieve more accuracy and reliable measures as compared to other network methods for solving such complex problems.
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Syeda Sadia Rubab, Ma Tian, Rehmat Bashir, and Syed Agha Hassnain Mohsan "Formulation of precise short neural network code", Proc. SPIE 12076, 2021 International Conference on Image, Video Processing, and Artificial Intelligence, 120760T (11 November 2021); https://doi.org/10.1117/12.2613594
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KEYWORDS
Neural networks
Neurons
Brain
Artificial neural networks
Image analysis
Machine learning
Signal processing
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