Finding the minimum of a complex function with many inputs can be challenging. In this video, we simplify this with gradient descent, a technique that helps navigate towards the function’s minimum efficiently. Learn how gradient descent adjusts your position based on the slope and why it’s essential for optimizing models like neural networks. For more insights into these techniques, subscribe to Code Monarch!

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Hash Tags: #GradientDescent, #MachineLearning, #NeuralNetworks, #Optimization, #DataScience, #AI, #TechExplained, #CodeMonarch, #MachineLearningBasics, #DeepLearning