Stochastic Gradient Descent
- Offered byGreat Learning
- Private Institute
Stochastic Gradient Descent at Great Learning Overview
Stochastic Gradient Descent
at Great Learning
Duration | 2 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course  |
Credential | Certificate |
Stochastic Gradient Descent
Table of contents
Stochastic Gradient Descent at Great Learning Highlights
Stochastic Gradient Descent
at Great Learning
- Earn a certificate of completion
Stochastic Gradient Descent at Great Learning Course details
Stochastic Gradient Descent
at Great Learning
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
Stochastic Gradient Descent
at Great Learning
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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