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AI • Machine Learning • Tech on Instagram: "Gradient descent is an optimization method used to train machine learning models by finding the set of parameters (like weights in a neural network) that make the loss function as small as possible. You can think of the loss as a surface, where each point represents a different set of parameters, and our goal is to move downhill toward the lowest point. To do this, we calculate the gradient, which is a collection of partial derivatives of the loss with

AI • Machine Learning • Tech on Instagram: "Gradient descent is an o…

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Gradient descent algorithm using Python

Gradient descent algorithm using Python

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Amit Gupta | AI Coach on Instagram: "🚀 Ever wondered what “Gradient” really means in Gradient Descent? Think of it as the slope of the hill you’re standing on. ⛰️ 👉 The steeper the slope, the bigger the step. 👉 The flatter the slope, the smaller the step. 👉 Eventually… you reach the bottom of the valley = minimum error. 💡 Takeaway: Gradient = direction + steepness that tells your model how to update itself. Without it, learning is just guesswork! Follow CosmicMinds for more AI made simple �

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AI • Machine Learning • Tech on Instagram: "Gradient descent is an iterative optimization technique used to train machine learning models by finding the set of parameters (like weights in a neural network) that make the loss function as small as possible. Given a simple surface, we calculate the gradient, which is the collection of partial derivatives of the loss with respect to x and y. A partial derivative tells us how the loss changes if we tweak just one parameter while holding the others co

AI • Machine Learning • Tech on Instagram: "Gradient descent is an it…

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