README.md

Deep Learning Working - December 2020

Slack

https://app.slack.com/client/T01GNMT9K53/C01GK3LUJS2

Tools

Google Colab https://colab.research.google.com/

Material

Session 1 - Intro to Python

• Notebook - Intro to Python

• Recording

• Notebook - pandas, NumPy, matplotlib

Session 2 - Introduction to Computer Vision

• Slides

• Notebook - MNIST example

• Recording

• Homework - Notebook - Fashion MNIST

Session 3 - Real-world Image Classification

• Slides

• Notebook - Fashion MNIST

  • Solution

• Notebook - Cats and Dogs

• Recording

• Homework - Notebook - Reducing Overfitting

Session 4 - Text classification

• Slides

• Notebook - Basic Text Classification

• Recording

To be posted. Please check back

Competition

• Description on the Slides

• Submit your entry here by January 4th 11:59 PM (US)

Students' projects

• Training of a neural network to be able to classify the differences between bucks (male deer, typically with antlers) and does (female deer). Images were collected from a Bushnell game camera in the student farm in Higbee, Missouri.

• Training of a neural network to detect masked facial expression (happy, surprised, confused).

Resources

• Links posted during the lectures