Getting <urlopen error [Errno 110] Connection timed out> about tensorflow-mnist-tutorial HOT 15 CLOSED

my data folder content from that project, you can download it and put it inside your data folder

t10k-images-idx3-ubyte.gz
t10k-labels-idx1-ubyte.gz
train-images-idx3-ubyte.gz
train-labels-idx1-ubyte.gz

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It looks like http://yann.lecun.com is down right now - it is probably why it does not work.
Maybe it make sense to have mirror somewhere else in addition to original source - so in this case download can back up to another source.

Especially keeping in mind your (Martin) talk on GCP-Next :) next week.

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In addition there is an issue on tensorflow/tensorflow#6742. Feel free to contribute or add 👍

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You probably did not have internet connectivity when you tested. On the first run, the script downloads the MNIST training data. I just re-tested and it works for me.

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I also get the same error, I have internet unless something needs to be enabled to pipe it into tensorflow

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Yeah, it was down last week too, it's not an issue on our end.

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The files need to download just once. The script does not redownload them if they are already there. But yes, something will need to be done if the data site remains down. I cannot get to it either...

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It looks like http://yann.lecun.com is still down and it cannot get the data set... Is there anywhere else we can get the training data?

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I have the same issue here, do we have a mirror to download MNIST data?

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Thank you @kakawait. Does anyone have any checksum/signature reference to check these files?
EDIT: they work on Linux but not on Windows. Any idea?

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@auserdude The files worked on Windows 8 for me, I downloaded the files and changed the data directory when of the example code from https://www.tensorflow.org/get_started/summaries_and_tensorboard to the correct directory. (using command line flags with python testfile.py --logdir C:\path\to\logdir and running tensorboard with tensorboard --logdir=log:C:\path\to\logdir )

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@auserdude Files have been generated/downloaded when launching that project on MacOS. So I didn't test on other platform. But I don't think is platform dependent, is just images with labels :)

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Otherwise if you're bit afraid to download something from unknown source (here, me) you can use archive machine https://web.archive.org/web/20160828233817/http://yann.lecun.com/exdb/mnist/index.html

I tried it works, and it can be more safer but more slower :)

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The site is back so i am closing this

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kakawait‘s answer works for me. Thank you !

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