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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    #StochasticGradientDescent#BatchGradientDescent#GradientDescent #MachineLearning #DeepLearning #AI #DataScience #Optimization #ArtificialIntelligence #LearningAlgorithms #NeuralNetworks #PythonProgramming #TechTutorial #AIExplained #LossFunction

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