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Contains intial commits/submissions and the practice code implemented. Final submission in ann-design repo, for summer internship at IIT Hyd.
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Includes perceptron networks designed from scratch and trained in matlab, along with sample codes from various sources.
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Keywords(Perceptron, Denoising, Supervised Learning, ADALINE nets, Time series analysis, Backpropagation)
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Inculdes a folder of notebooks with python code, which have been implemented for understanding and training.
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---Footnote---
Samples & example problems from :
1. Hagan, Demuth, Beale ebook in Matlab Documentation. 2. Other miscellanous sources online. 3. References include mathworks guide, and implementations. 4. cross-entropy and trainscg function sample training models.
