AI dictionary · Deep learning
What is Gradient descent?Gradient descent kya hai?
Also called: SGD, Adam
Gradient descent: The training method that repeatedly adjusts weights in small steps to reduce error.Training ka tarika jo error kam karne ke liye weights ko baar baar chhote kadmon mein badalta hai.
🧸 Think of it likeAise samjho
Like walking downhill in fog: you can't see the bottom, so you keep taking small steps where the ground slopes down.Kohre mein pahaad se neeche utarne jaisa: neeche dikhta nahi, toh jahan dhalaan neeche ho wahan chhote kadam lete raho.
📘 ExplainedVistaar se
Compute the loss, compute gradients, move each weight a little against its gradient, repeat. The learning rate sets the step size. Stochastic gradient descent uses mini batches; optimisers like Adam adapt the step for each weight and are common defaults.Loss nikalo, gradients nikalo, har weight ko uske gradient ke ulta thoda khiskaao, repeat. Learning rate kadam ka size tay karta hai. Stochastic gradient descent mini batches use karta hai; Adam jaise optimisers har weight ka kadam adjust karte hain aur common defaults hain.
💡 Real exampleAsli example
Like walking downhill in fog by always stepping where the ground slopes down.Jaise kohre mein hamesha dhalaan ki taraf kadam rakh kar pahaad se utarna.
📖 Learn it step by stepStep by step seekho
🔗 Related termsJude hue shabd
Questions people ask
What is Gradient descent?
The training method that repeatedly adjusts weights in small steps to reduce error. Compute the loss, compute gradients, move each weight a little against its gradient, repeat. The learning rate sets the step size. Stochastic gradient descent uses mini batches; optimisers like Adam adapt the step for each weight and are common defaults.
How can I understand Gradient descent in simple words?
Like walking downhill in fog: you can't see the bottom, so you keep taking small steps where the ground slopes down.
What is an example of Gradient descent?
Like walking downhill in fog by always stepping where the ground slopes down.
Gradient descent ka matlab kya hai?
Training ka tarika jo error kam karne ke liye weights ko baar baar chhote kadmon mein badalta hai. Kohre mein pahaad se neeche utarne jaisa: neeche dikhta nahi, toh jahan dhalaan neeche ho wahan chhote kadam lete raho.
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