Free Multilayer Perceptron Course

Multilayer Perceptron

star 4.65  Intermediate level 2.25 learning hrs 3.6K+ Learners

Learn Multilayer Perceptron from basics in this free online training. This free Multilayer Perceptron course is taught hands-on by experts. Best for Beginners. Start Now!

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About this course

This free Multilayer Perceptron(MLP) course familiarizes you with the artificial neural network, a vastly used technique across the industry. The course starts by introducing you to neural networks, and you will learn their importance and understand their mechanism. You will then go through various applications of neural networks and understand the activation functions, their types, and mechanisms. You will also learn back-propagation and stochastic gradient descent with examples. Lastly, you will go through the demo on neural networks, where you will go through its implementation in various scenarios. Enroll in this free course on Multilayer Perceptron(MLP) and earn a certificate of course completion on completing the quiz at the end of the course.

 

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Course outline

Introduction to neural networks

You will understand what Neural Networks are and how they are a pathway to Artificial Intelligence using Deep Learning. This section will also give a brief idea of weights & mathematics in Neural Networks.
 

Why do we use Neural Networks?

This module will help you comprehend the importance of neural networks and why we use them in various scenarios. 

 

Applications of Neural Networks

In this module, you will learn how neural networks play their role in various applications like image processing, speech processing, text processing, gaming, prediction, decision making, Google car, and eyewear. 

 

 

How do Neural Networks work?

This module starts by introducing you to fully connected neural networks. Further, you will focus on understanding neural networks' working and the functions of the different layers involved.

 

 

Activation Functions in Neural Networks

This module helps you better understand the working of neural networks by introducing you to the critical function called Activation Functions. You will learn the activation function, its types, and how they function. 

 

 

Back-Propagation and Stochastic Gradient Descent

This module familiarizes you with back-propagation and stochastic gradient descent with the help of examples. You will learn the process from scratch and understand the various functions involved.

 

 

Demo on Neural Networks

This module contains hands-on sessions on various scenarios of neural networks on jupyter notebook. This will help you enhance your practical skills and implementation of neural networks. 

 

 

Get access to the complete curriculum once you enroll in the course

Multilayer Perceptron

rating icon 4.65

2.25 Hours

Intermediate

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3.6K+ learners enrolled so far

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Get free course content

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Master in-demand skills & tools

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Test your skills with quizzes

Trusted by 10 Million+ Learners globally

Learner reviews of the Free Courses

4.65
79%
15%
5%
1%
0%
Reviewer Profile

4.0

Country Flag India
“This course offered a thorough introduction to MLPs, blending theory with hands-on practice, making neural networks accessible.”
I appreciated the balance between theoretical insights and practical exercises in this Multilayer Perceptron course. The clear explanations of complex concepts like perceptrons, hidden layers, and activation functions provided a strong foundation. The interactive quizzes helped reinforce my learning, and the practical coding sessions enabled me to apply these techniques in real-world scenarios. The course has boosted my confidence in neural networks and inspired me to delve deeper into advanced machine learning topics.
Reviewer Profile

5.0

Country Flag India
“Understanding the Multilayer Perceptron: A Key to Deep Learning”
The Multilayer Perceptron (MLP) is fundamental to my understanding of deep learning. Learning how MLPs consist of input, hidden, and output layers, and how they utilize activation functions to introduce non-linearity, helped me grasp how complex relationships between inputs and outputs are modeled. Working with MLPs introduced me to key concepts like weights, biases, and backpropagation, allowing me to better appreciate how deep neural networks make accurate predictions in fields like image classification and text extraction.
Reviewer Profile

5.0

Country Flag Singapore
“An Engaging and Practical Learning Experience with Great Learning”
I recently completed a course with Great Learning, and it was an incredible learning journey! The course content was well-organized, diving deep into both fundamental and advanced topics. The instructors were not only experts but also very approachable, making even tough concepts easier to understand. I really appreciated the practical projects, which helped me apply my knowledge directly. The support team was excellent, responding promptly to any queries. Overall, Great Learning provided a rich, immersive learning experience that I’d highly recommend to my friends.
Reviewer Profile

5.0

Country Flag United States
“Easy to follow and understand. Expanded my understanding”
Explained alot of concepts that I had previously been given but not understood. Instructor explained it simply to add context and depth to the foundation level learning
Reviewer Profile

5.0

Country Flag India
“Outstanding Neural Network Course”
Excellent Neural Network course! Clear, concise, and engaging!
Reviewer Profile

5.0

Country Flag India
“Foundation of Artificial Intelligence- Deep Learning ”
Flow of teaching, points covered, concepts explained, Time management, examples given, quiz about the topic

Frequently Asked Questions

Will I receive a certificate upon completing this free course?

Yes, upon successful completion of the course and payment of the certificate fee, you will receive a completion certificate that you can add to your resume.

Is this course free?

Yes, you may enroll in the course and access the course content for free. However, if you wish to obtain a certificate upon completion, a non-refundable fee is applicable.

Where can I learn multilayer perceptron for free?

This is a part of data science and machine learning. There are many free courses which involve this course. You can check some of the courses on the Great learning website.

What are the prerequisites required to learn this Multilayer Perceptron course?

There is no specific prerequisite for this free course. The course starts by explaining neural networks from scratch.

 

How long does it take to complete this free Multilayer Perceptron course?

This free course contains 1.5 hours of video content that are self-paced, and hence the learners are free to learn concepts at their own pace.

 

Will I have lifetime access to the free course?

Yes. Once enrolled in this free Multilayer Perceptron course, you are eligible for lifetime access to the course.

What are my next learning options after this Multilayer Perceptron course?

You can consider Great Learning's PG Machine Learning Course, which will help you dig deeper into Machine Learning concepts.

 

Is it worth learning Multilayer Perceptron?

Multilayer Perceptron is definitely worth learning as it is one of the most popular Machine Learning algorithms used today. It is a robust algorithm that can be applied to various tasks, including classification, regression, and feature learning.

 

What is Multilayer Perceptron used for?

A Multilayer Perceptron (MLP) is a class of feedforward artificial neural networks (ANN). Multilayer Perceptron (MLP) is used for various tasks, including pattern recognition, classification, and prediction. They are a type of artificial neural network that can learn to approximate any continuous function.

 

Why is Multilayer Perceptron so popular?

A robust algorithm that is frequently used for classification and prediction tasks is the Multilayer Perceptron. Its popularity can be attributed partly to how simple it is to deploy and train. It can also manage a lot of characteristics and is reasonably resilient to overfitting.

 

What jobs demand that you learn Multilayer Perceptron?

The jobs that demand you know Multilayer Perceptron include:

  • Data Analyst
  • Software Engineer
  • Research Scientist
  • Data Scientist
  • Machine Learning Engineer

What knowledge and skills will I gain upon completing this Multilayer Perceptron course?

You will comprehend Multilayer Perceptron(MLP) from scratch. You will understand its mechanism, functions, applications, back-propagation, and stochastic gradient descent. You will also get practical knowledge through its implementation.

 

How much does this Multilayer Perceptron course cost?

This Multilayer Perceptron is offered for free by Great Learning. 

 

Is there a limit on how many times I can take this Multilayer Perceptron course?

No, there is no specific limit on attaining this free course. You can revisit this course anytime and brush up on your Multilayer Perceptron(MLP) knowledge.

 

Can I sign up for multiple courses from Great Learning Academy at the same time?

Yes, you can register for multiple free courses by Great Learning Academy that aid you in developing your career.

 

Who is eligible to take this Multilayer Perceptron course?

Anyone interested in learning about artificial neural networks and how Multilayer Perceptron(MLP) is used to tackle different challenges in Machine Learning can enroll in this free course.

 

What are the steps to enroll in this course?

 

  • Search for the "Multilayer Perceptron(MLP)" free course in the search bar present at the top corner of Great Learning Academy.
  • Register for the course through the Enroll Now button and start learning.

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