Skip to content

Latest commit

 

History

3 Commits

Folders and files

NameName
Last commit message
Last commit date
 
 
 
 
 
 

Repository files navigation

Mole Scan

A deep neural network training on the HAM10000 Skin cancer MNIST dataset, split 7:3 for training:testing.

Achieved 75% accuracy without a convolutional layer using grayscale images only.

Created for McGill Physics Hackathon 2019.

About

A deep neural network training on the HAM10000 Skin cancer MNIST dataset.

Resources

Stars

0 stars

Watchers

0 watching

Forks

Releases

Packages

Contributors

Languages