In this video, we dive into the implementation of the Perceptron algorithm and learn how to write the complete code for a Single Layer Perceptron from scratch.
🔍 Topics Covered:
What is a Perceptron?
Understanding binary classification
Components of a perceptron: inputs, weights, bias, net sum & activation function
How perceptron acts as a linear classifier
Coding the Perceptron step by step
How single-layer perceptron relates to multi-layer neural networks
A perceptron is a foundational concept in Machine Learning and Deep Learning. This lecture will help you understand both the theory and hands-on implementation.
📁 GitHub Link:
https://github.com/codewithaarohi/Detailed-Deep-Learning-Program
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https://www.youtube.com/channel/UCgHDngFV50KmbqF_6-K8XhA/join
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