GitHub - djwadhwa/BackPropagationMNIST: MNIST Data set classification using simple backprop and sigmoid function

Name		Name	Last commit message	Last commit date
Latest commit History 41 Commits
.gitignore		.gitignore
Backpropagation.pdf		Backpropagation.pdf
addNoise.m		addNoise.m
add_noise_input.m~		add_noise_input.m~
backprop.m		backprop.m
backprop.m~		backprop.m~
generate_weight_bias.m		generate_weight_bias.m
generate_weight_bias.m~		generate_weight_bias.m~
graph_backprop.m		graph_backprop.m
graph_backprop.m~		graph_backprop.m~
loadMNISTImages.m		loadMNISTImages.m
loadMNISTLabels.m		loadMNISTLabels.m
mnist_test_accuracy.png		mnist_test_accuracy.png
mse_10_digits_10_epochs.png		mse_10_digits_10_epochs.png
mse_10_digits_20_epochs.png		mse_10_digits_20_epochs.png
mse_10_digits_40_epochs.png		mse_10_digits_40_epochs.png
mse_10_digits_5_epochs.png		mse_10_digits_5_epochs.png
mse_10_digits_60_epochs.png		mse_10_digits_60_epochs.png
mse_3_digits.png		mse_3_digits.png
noise_error.m		noise_error.m
noise_error_per_digit.png		noise_error_per_digit.png