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#5 Deep Learning: Linear Classifiers & Regularization | Finding the Best Weights (W)
In this video, we dive into Deep Learning fundamentals by exploring Linear Classifiers and the role of Regularization in improving model performance. 🔹 Topics covered: * How to find the best values of weights (*W*) * Loss function minimization and gradient descent * The importance of *L1 & L2 regularization* * Preventing overfitting with ...
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