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154 - Understanding the training and validation loss curves
Loss curves contain a lot of information about training of an artificial neural network. This video goes through the interpretation of various loss curves generated using the Wisconsin breast cancer data set. https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic) Code generated in the video can be downloaded from here ...
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Curve fitting is a fundamental concept in data analysis and machine learning, where the objective is to identify a mathematical function that best represents or approximates a set of observed data points. The chosen function can take many forms - linear, polynomial, exponential, or even nonlinear models like those used in neural networks, depending on the complexity of the underlying relationship. The core challenge lies in reducing the gap between the actual data points and the predicted curve.
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