probabilistic-and-deep-learning

This repository contains various examples of probabilisic and deap learning within the notebook int3.ipynb.

Regression and classification

Example of least squares linear regression model predicting the value of a variable from three others. Also includes examples of data normalising, scaling, regularisation and their effects on the outcome.

Principal Component Analysis

Performs an example of principal component analysis

Hand drawn tree symbol classification

Creates a classification model for hand-drawn trees from an unbalanced dataset - used Weighted Random Sampling to prevent bias.

3363 / 3366 predictions correct with 99.91% accuracy

Generating tree symbol images of a specific class

CGAN to generate the hand-drawn tree diagrams. Unfortunately suffered from mode collapse.

4 random images of each tree class:

Interpolation between 2 of each class:

All code submitted for masters module at the University of York - Intelligent Systems 3: Probabilistic and deep learning.