Deep Learning from Scratch in Modern C++: Cost Functions - Towards AI Deep Learning From Scratch. In this series, we will learn how to code the must-to-know deep learning algorithms such as convolutions, backpropagation, activation functions, deep neural networks, and so on using only plain and modern C++.
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Let’s have fun by implementing Cost Functions in pure C++ and Eigen.About this seriesModeling in machine learningApproximating FunctionsCost Function and The Universal Approximation TheoremMean Squared ErrorThe intuition of using MSE to find the best parametersThe Cost SurfaceMSE on High-Dimensional OutputsOther Cost FunctionsConclusion and Next StepsSort: