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Overview
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This course offers a visual, low-math introduction to logistic regression and the perceptron algorithm. It uses an email spam classifier to explain binary classification, decision boundaries, sigmoid activation, log-loss, and parameter updates.
Syllabus
Introduction
Series of 3 videos
E-mail spam classifier
Classification goal: split data
How to move a line
Rotating and translating
Perceptron Trick
Correctly and incorrectly classified points
Positive and negative regions
Perceptron Error
Gradient Descent
A friendly introduction to deep learning and neural networks
Activation function sigmoid
Log-Loss Error
Perceptron Algorithm
Logistic regression algorithm
Thank you!
Taught by
Serrano.Academy