In the end, Machine-Learning is all about Optimization: ft. Gradient Descent

We all know Machine-Learning is all about solving complex optimization problems, it can be a simple linear-regression with few weights or a Deep Neural-Network with millions of weights to train. Here training the weights essentially means minimizing the Loss-function(through which we measure our model’s performance)by finding the optimal weights, that represents a mathematical solution to the optimization problem using Gradient Descent.


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