2-Stage Backpropagation is an advanced technique for training neural networks that aims to improve convergence and generalization. It involves splitting the network into two parts and training them ...
The objective of the project is to compare the methods of backpropagation, genetic algorithms, and decision trees on their abilities to predict a positive diabetes diagnosis. For this project, we ...
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