Deep Learning with PyTorch
This repo is a resource for my Deep Learning with PyTorch talk. It contains all of the code that was demonstrated as well as the deck.
This talk is inspired by a PyTorch tutorial available online. It is also inspired by a silly nine squares image problem.
The purpose of this silly problem is to provide the basic intution behind models, cost, accuracy, and optimization principles behind machine learning.
Deep Learning Principles
- model function
- cost function
- optimization method
- Loss (or Cost)
- Azure Machine Learning service