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
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Francis Bach. Deep Learning. (2016)
Terrence J. Sejnowski. The Deep Learning Revolution (The MIT Press). (2018)
Neural Networks YouTube playlist by 3brown1blue: https://www.youtube.com/playlist?list=PLZHQObOWTQDNU6R1_67000Dx_ZCJB-3pi
http://neuralnetworksanddeeplearning.com/
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
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")