Multilayer Perceptron
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!
4.65
Intermediate
2.25 Hrs
3.2K+
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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. Enhance your skills in AIML through Great Learning's Best Artificial Intelligence and Machine Learning courses. Enroll in the course that aid your career development and earn a certificate of course completion that helps you gain better job opportunities.
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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.
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