[R] image classification examples are broken

[thirdwing]

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[matt32106]

I also noticed that, i think i have fixed the cifar10 one, please check this pull request:
#5064

Am working on the mnist one, but am stuck with a mxnet error that i am unable to fix atm. So, i have code that i think removes some errors but it does not work yet. Should i make a pull request or post to another branch or? check here: repo matt32106:R-examples branch

train_model.fit(args, net, get_iterator(data_shape))
Arguments batch_size data_dir kv_store lr_factor momentum network num_examples num_round
"128" "data/mnist/" "local" "0.05" "0.9" "mlp" "60000" "10"
[11:34:56] src/io/iter_mnist.cc:91: MNISTIter: load 60000 images, shuffle=1, shape=(128,784)
[11:34:56] src/io/iter_mnist.cc:91: MNISTIter: load 10000 images, shuffle=1, shape=(128,784)
Start training with 1 devices
Error in mx.nd.internal.dispatch.Ops(.Generic, e1, e2) :
ndarray.cc:500: MXNDArray binary operations only support NDArray and numeric values as operands
Called from: mx.nd.internal.dispatch.Ops(.Generic, e1, e2)