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This feature will introduce a step-by-step guide to building a perceptron network without relying on existing machine learning libraries. This feature will cover the fundamental concepts of perceptron, including their structure, activation functions, and learning rules, and provide practical code examples for training and testing the network on various datasets.
Use Case
This feature is ideal for students, educators, and developers who want to gain a understanding of neural networks. Students can use it to grasp the basics of machine learning and deep learning, educators can incorporate it into their curriculum to demonstrate core concepts to theirs students.
Feature Description
This feature will introduce a step-by-step guide to building a perceptron network without relying on existing machine learning libraries. This feature will cover the fundamental concepts of perceptron, including their structure, activation functions, and learning rules, and provide practical code examples for training and testing the network on various datasets.
Use Case
This feature is ideal for students, educators, and developers who want to gain a understanding of neural networks. Students can use it to grasp the basics of machine learning and deep learning, educators can incorporate it into their curriculum to demonstrate core concepts to theirs students.
@chandan2300 can you please assign this to me.
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