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Stochastic Gradient Descent 

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Stochastic Gradient Descent
 at 
Great Learning 
Overview

Duration

2 hours

Total fee

Free

Mode of learning

Online

Difficulty level

Beginner

Official Website

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Credential

Certificate

Stochastic Gradient Descent
 at 
Great Learning 
Highlights

  • Earn a certificate of completion
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Stochastic Gradient Descent
 at 
Great Learning 
Course details

What are the course deliverables?
  • Objective of Gradient Descent
  • Gradient Descent Algorithm
  • Stochastic Gradient Descent
  • Stochastic Gradient Descent Working
  • Advantages and Disadvantages of Stochastic Gradient Descent
More about this course
  • In this course, you will learn about Stochastic Gradient Decent, how it works, the difference between SGD and Gradient Descent, Mini Batches, and momentum in this process
  • Stochastic is a process involving a randomly determined sequence of observations, each of which is considered as a sample of one element from a probability distribution or, in simple terms, Random selection

Stochastic Gradient Descent
 at 
Great Learning 
Curriculum

Introduction and Agenda of Stochastic Gradient Descent

Objective of Gradient Descent

Gradient Descent - The Algorithm

Types of Gradient Descent

Stochastic Gradient Descent

Is Stochastic Gradient Descent same as Gradient Descent?

Why is Stochastic Gradient Descent Needed ?

How Does Stochastic Gradient Descent Algorithm Works ?

Advantages of Stochastic Gradient Descent

Disadvantages of Stochastic Gradient Descent

Mini Batches in Gradient Descent

Momentum in Gradient Descent

Why Does Stochastic Gradient Descent Converge ?

Summary of Stochastic Gradient Descent

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Stochastic Gradient Descent
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