Advanced Block I
An Introduction to Machine Learning with PyTorch
In this course, you will get introduced to PyTorch and how to properly use it. You will learn how to create a Dataset that you will then use to feed to your neural network.
Requirements:
basic (better: advanced) programming skills in Python
basic understanding of what a neural network is (Check out the video linked here).
We will create some toy examples using the famous MNIST dataset that should help you build more advanced networks in the future.
What we will cover: Create your own dataset, create your first neural network using your dataset, train your neural network. We will also cover things like loss-functions, learning rates and optimization functions.
About the lecturer:
Kevin Trebing is a Machine Learning enthusiast
He holds a Masters degree in Artificial Intelligence from Maastricht University, Netherlands
Interested in: Machine Learning, Neural Networks and Data Science
Practical experience in different projects such as precision agriculture, predictive maintenance and online classification using sensors
More: find Kevin on LinkedIn