How to easily code machine learning with Pytorch - Linear Layers | Corey Codes
In a brand new MnRI video series, Corey Senger gives a tutorial on how build neural networks in Pytorch using a pre-made setup in Google Colab that anyone can build off of. With only Linear and ReLU from Pytorch, the possibilities are limitless! Explore the LINE, DOTS, CIRCLE, and MNIST datasets using techniques that date back all the way to the mid 20th century.
Linear Networks Public Notebook: https://colab.research.google.com/dri...
About Corey: Corey Senger is a Master's in Robotics student at the Minnesota Robotics Institute. He completed his Bachelor's in Computer Science in Spring 2020, but his passion for machine learning made him continue his education, as he embarks on his journey towards a Master's in Robotics. His interests in psychology and philosophy, in particular, have instilled a fondness of exploring the line between people and machines.