This repository contains a LeNet Caffe Model trained on the MNIST dataset, based on the instructions available at https://caffe.berkeleyvision.org/gathered/examples/mnist.html.

The MNIST test dataset is included in this repository, in the LMDB format. It was originally downloaded from http://yann.lecun.com/exdb/mnist and converted to the LMDB format using Caffe's convert_mnist_data tool.

This model was trained using:

caffe train -solver=lenet_solver.prototxt

The train dataset is not included in this repository.

Run this to test the model:

caffe test -model=lenet_train_test.prototxt -weights=lenet_iter_10000.caffemodel

The model trained for 10000 iterations has a test accuracy of 98.6% and a softmax loss of 0.0444183.

The contents of this repository are released for unrestricted use.