GitHub / NILAY2233 / Machine_Learning---Learning-Gradient-Descent-optimization-techniques

Gradient Descent is a technique used to fine-tune machine learning algorithms with differentiable loss functions. It's an open-ended mathematical expression, tirelessly calculating the first-order derivative of a loss function and making precise parameter adjustments.

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Topics: batch-gradient-descent, gradient-descent, minibatch-gradient-descent, stochastic-gradient-descent

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