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| deeplearningfoundationsandconcepts:onedeeplearningrevolution [2025/05/05 11:42] – created gedbadmin | deeplearningfoundationsandconcepts:onedeeplearningrevolution [2025/05/05 12:22] (current) – [A Tutorial Example] gedbadmin | ||
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| * Synthetic data is generated from the function t(x) -> sin(2*PI*x). | * Synthetic data is generated from the function t(x) -> sin(2*PI*x). | ||
| * The goal is to train a model taht can predict values for t(x). | * The goal is to train a model taht can predict values for t(x). | ||
| - | * A simple linear model is created using curve fitting | + | * A simple linear model is created using curve fitting. |
| + | * The polynomial function y(x,w) is used as a linear function by fixing the w parameter. | ||
| + | * The sum of squares is used as a simple error function, giving is E(w). | ||
| + | * The curve fitting problem is solved by selecting the value for w where E(w) is as small as possible. | ||
| + | * | ||
| ====== A Brief History of Machine Learning ====== | ====== A Brief History of Machine Learning ====== | ||