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Neural Networks From Scratch

🌟 Implementation of Neural Networks from Scratch Using Python & Numpy 🌟

Uses Python 3.7.4

Loss Functions

A loss function, or cost function, tells us “how good” the model is at making predictions for a given set of parameters. The slope of this curve tells us how to change our parameters to make the model more accurate. We use the cost function to update our parameters.

y: actual value | y' / y^p: predicted value | n: number of samples

  • Mean Absolute Error (MAE)

  • Mean Squared Error (MSE)

  • CrossEntropy