Tutorial-20:Stochastic gradient descent(SGD)|Deep Learning|Telugu
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- Опубликовано: 9 фев 2025
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Stochastic Gradient Descent (SGD) Explained Simply and Intuitively!
Gradient Descent is a powerful optimization technique widely used in machine learning and deep learning models. In this video, I dive deep into one of its most efficient variants - Stochastic Gradient Descent (SGD).
Here’s what you’ll learn:
1.💡 How Stochastic Gradient Descent (SGD) works:
The core idea of updating model weights using individual data points.
Why it's faster and better suited for large datasets.
2.⚠️ Challenges in SGD:
Issues like noisy updates and convergence difficulties.
Techniques to improve SGD such as learning rate schedules and momentum.
3.💻 Where is SGD used?
From neural networks to regression models, learn why SGD is the go-to optimization algorithm in modern AI applications.
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