Introduction to Deep Learning using Python

The notes were taken using OneNote for Windows 10, but inside every week there is the .pdf with all the notes' content.

1. Linear Regression (week 2)

2. Polynomial Regression (week 3)

3. Logistic Regression (week 4)

4. Perceptron Classifier: Algorithmic and Bayes (week 5)

5. Multilayer Neural Network (week 6)

6. Activation Functions (week 7)

7. Convolutional Neural Networks (week 9)

8. Mexico's Lotto Predictor: Recurrent Neural Network (lottery-predition)

9. Cauchy Machines (cauchy-machines)