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Classroom Contents
Logistic Regression and the Perceptron Algorithm - A Friendly Introduction
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- 1 Introduction
- 2 Series of 3 videos
- 3 E-mail spam classifier
- 4 Classification goal: split data
- 5 How to move a line
- 6 Rotating and translating
- 7 Perceptron Trick
- 8 Correctly and incorrectly classified points
- 9 Positive and negative regions
- 10 Perceptron Error
- 11 Gradient Descent
- 12 A friendly introduction to deep learning and neural networks
- 13 Activation function sigmoid
- 14 Log-Loss Error
- 15 Perceptron Algorithm
- 16 Logistic regression algorithm
- 17 Thank you!
