| .. | ||
| cnn.go | ||
| linear.go | ||
| main.go | ||
| nn.go | ||
| README.md | ||
Linear Regression, NN, and CNN on MNIST dataset
MNIST
-
MNIST files can be obtained from this source and put in
data/mnistfrom root folder of this project. -
Load MNIST data using helper function at
visionsub-package
Linear Regression
-
Run with
go clean -cache -testcache && go run . -model="linear" -
Accuraccy should be about 91.68%.
Neural Network (NN)
-
Run with
go clean -cache -testcache && go run . -model="nn" -
Accuraccy should be about TODO: update%.
Convolutional Neural Network (CNN)
-
Run with
go clean -cache -testcache && go run . -model="cnn" -
Accuraccy should be about TODO: update%.