download_mnist {deepNN}R Documentation

download_mnist function

Description

A function to download mnist data in .RData format. File includes objects train_set, truth, test_set and test_truth

Usage

download_mnist(fn)

Arguments

fn

the name of the file to save as

Value

a list, the elements of which are the sums of the elements of the arguments x and y.

References

  1. Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach. Deep Learning. (2016)

  2. Terrence J. Sejnowski. The Deep Learning Revolution (The MIT Press). (2018)

  3. Neural Networks YouTube playlist by 3brown1blue: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi

  4. http://neuralnetworksanddeeplearning.com/

  5. Y. LeCun, L. Bottou, Y. Bengio, and P. Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE, 86(11):2278-2324, November 1998

  6. http://yann.lecun.com/exdb/mnist/

See Also

network, train, backprop_evaluate, MLP_net, backpropagation_MLP

Examples


# Don't run at R check because the file is large (23Mb)
# download_mnist("mnist.RData")



[Package deepNN version 1.2 Index]