Perceptron Trick | How to train a Perceptron | Perceptron Part 2 | Deep Learning Full Course

Описание: Code - https://github.com/campusx-official/1...

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Training a Perceptron involves adjusting its weights to correctly classify input data. The process typically follows these steps:

Initialize Weights: Set initial weights randomly.
Forward Pass: Compute the weighted sum of inputs and pass it through an activation function.
Calculate Error: Compare the predicted output with the actual target.
Update Weights: Adjust weights based on the error using a learning rate and the gradient descent algorithm.
Repeat: Iterate through the dataset multiple times (epochs) until the model converges.

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⌚Time Stamps⌚

00:00 - Intro
01:20 - Perceptron Trick
10:35 - How to Label regions?
13:25 - Transformations
25:00 - Coding the Algorithm
36:00 - Simplified Algorithm
41:20 - Code Demo
51:16 - Outro