gotch/example/mnist
2020-07-22 15:56:30 +10:00
..
cnn.go BREAKING CHANGE: switch to auto-generated 2020-07-22 15:56:30 +10:00
linear.go BREAKING CHANGE: switch to auto-generated 2020-07-22 15:56:30 +10:00
main.go fix(KaimingUniformInit): fixed incorrect init of KaimingUniform method 2020-06-24 12:47:10 +10:00
nn.go BREAKING CHANGE: switch to auto-generated 2020-07-22 15:56:30 +10:00
README.md fix(tensor/module): fixed and moved BatchAccuracyForLogits to nn/sequential; chore(example): clean-up 2020-07-11 12:53:23 +10:00

Linear Regression, NN, and CNN on MNIST dataset

MNIST

  • MNIST files can be obtained from this source and put in data/mnist from root folder of this project.

  • Load MNIST data using helper function at vision sub-package

Linear Regression

  • Run with go clean -cache -testcache && go run . -model="linear"

  • Accuracy should be about 91.68%.

Neural Network (NN)

  • Run with go clean -cache -testcache && go run . -model="nn"

  • Accuracy should be about 94%.

Convolutional Neural Network (CNN)

  • Run with go clean -cache -testcache && go run . -model="cnn"

  • Accuracy should be about 99.3%.