Perceptron Algorithm is one of the earliest and most fundamental algorithms in the field of machine learning that has laid the foundation for many more complex and sophisticated algorithms that have been developed over the years. Understanding Perceptron is really important especially if you are getting started with Deep Learning and Neural Networks since it is one of the basic building blocks of Neural Networks.

In this video, we'll explore the basics including the working and learning of the perceptron algorithm, and provide a step-by-step guide to implementing it in Python from scratch using NumPy.

Timeline
History of development: 00:22
How does Perceptron work? : 01:28
Learning in Perceptron: 06:55
Code implementation: 10:31
Limitations of Perceptron: 11:55

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