Implementation of the Backpropagation Algorithm for Artificial Neural Networks
Run Preprocessing.py using command with filenames as argument: python Preprocessing.py input_file_path output_file_path
Run Neural.py using command with corr arguments: python Neural.py output_file_path training_percentage max_iterations hidden_layer num_neurons Eg: python Neural.py D:\UTD\ML\Assignment3\input_prep.csv 80 200 1 8
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An Open Source Machine Learning Framework for Everyone
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Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
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A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
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