Machine Learning

Lecture 1 Introduction to SE for Media

An introduction to Python

Lecture 2 Python Basics

An introduction to Python

Lecture 3 Sequence Selection and Iteration

Mopre programming constructs

Lecture 4 Object Oriented Programming

Mopre programming constructs

Lecture 5 Introduction to Numpy

A look at numpy and how we can use it

Lecture 6 Introduction to Pandas

A look at Pandas and how we can use it

Lecture 7 PyTorch and Tensors

What is PyTorch and how can we use it

Lecture 8 ML Workflows

Machine Learning Workflows with PyTorch

Lecture 9 Classification

Looking at Datasets and how we can use them

Lecture 10 Dataloaders

What is Dataloaders and how can we use it

Chris Leu

A Simple Pipeline for Denoising Renders with Neural Networks