Machine Learning Essentials and Backpropagation Algorithm

Name: Machine Learning Essentials and Backpropagation Algorithm
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Master the concepts of machine learning algorithms and apply them in real-world situations in this free online course.

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Learning Outcomes

In this free course, you will learn how to:

Explain the concept of Non-symbolic machine learning
Discuss perception learning and perceptron that linearly separates
Indicate backpropagation with multi-layer neural networks
Identify how to compute W for hidden nodes and describe how backpropagation works
List the examples of backpropagation calculations
Describe the K-means clustering and list the application of machine learning
State how to update the weight in the backpropagation algorithm

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