A setup script will download MNIST and produce mnist/*.t7 files:
luajit download_mnist.lua
Example usage:
local mnist_cluttered = require 'mnist_cluttered'
-- The observation will have size 1x100x100 with 8 distractors.
local dataConfig = {megapatch_w=100, num_dist=8}
local dataInfo = mnist_cluttered.createData(dataConfig)
local observation, target = unpack(dataInfo.nextExample())
handwritten-digits-recognition A script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and
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Hi,
I was wondering if the following is the intended output?
I set opt.nDigits = 3 and targetFilling = "mark" , and generated an example using,
observation , class_vec = unpack(dataInfo_train.nextExample())
which was a 6 another 6 and a 9,
and got the class vector as,
th> class_vec 0 0 0 0 0 0 1 0 0 1 [torch.DoubleTensor of size 10]
I though this was a bit strange because two 6's were generated? I was just wondering if it should be,
th> class_vec 0 0 0 0 0 0 2 0 0 1 [torch.DoubleTensor of size 10]
In general, if I generate 3 digits, two of which are the same, the class vector always show one in each class? Is this intended? If so would it be possible to request a change in the code to give the class vector as the number of digits generated for each class?
A similar thing happens when I generate two digits, and both are the same?
Thanks a lot for your help,
Best regards,
Aj
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