Getting Started with Neural Networks: Perceptrons & Neural Network Algorithms
Neural Networks
| Intermediate
- 10 videos | 44m 8s
- Includes Assessment
- Earns a Badge
Discover the basics of perceptrons, including single- layer and multilayer, and the roles of linear and nonlinear functions in this 10-video course. Learners will explore how to implement perceptrons and perceptron classifiers by using Python for machine learning solutions. Key concepts covered in this course include perceptrons, single-layer and multilayer perceptrons, and the computational role they play in artificial neural networks; learning the algorithms that can be used to implement single-layer perceptron training models; and exploring multilayer perceptrons and illustrating the algorithmic difference from single-layer perceptrons. Next, you will learn to classify the role of linear and nonlinear functions in perceptrons; learn how to implement perceptrons by using Python; and learn approaches and benefits of using the backpropagation algorithm in neural networks. Then learn the uses of linear and nonlinear activation functions in artificial neural networks; learn to implement a simple perceptron classifier using Python; and learn the benefits of using the backpropagation algorithm in neural networks and implement perceptrons and perceptron classifiers by using Python.
WHAT YOU WILL LEARN
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discover the key concepts covered in this coursedescribe perceptrons and the computational role they play in artificial neural networksrecognize the algorithms that can be used to implement single layer perceptron training modelsdefine multilayer perceptrons and illustrate the algorithmic difference from single layer perceptronsclassify the role of linear and non-linear functions in perceptrons
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demonstrate the implementation of perceptrons using Pythondescribe approaches and benefits of using the backpropagation algorithm in neural networksrecognize the uses of linear and non-linear activation functions in artificial neural networksimplement a simple perceptron classifier using Pythonrecall the benefits of using the backpropagation algorithm in neural networks, and implement perceptrons and perceptron classifiers using Python
IN THIS COURSE
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1.Course Overview1m 23sUP NEXT
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2.Perceptrons5m 42s
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3.Single Layer Perceptron Training Model4m 45s
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4.Multilayer Perceptrons5m 9s
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5.Linear and Non-Linear Functions4m 52s
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6.Implement Perceptrons with Python4m 51s
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7.Backpropagation3m 52s
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8.Activation Functions4m 18s
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9.Perceptron Classifier4m 45s
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10.Exercise: Implement Perceptrons4m 31s
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