Hi - please bear with a complete newbie! I have managed to get through various obstacles myself, but now I’m stuck. I wonder if I have unzipped the dogscats data into the wrong directory, but it looks to be exactly the same as in the video. It doesn’t help that I know very little of Linux. Anyhow, the notebook runs fine until the final step, when I get:
OSError: [Errno 2] No such file or directory: ‘data/dogscats/sample/train’.
Can’t verify this atm myself, but I think when you run a notebook the paths are relative to where the notebook resides and not relative to from where you run the jupyter notebook server.
You seem to have data under ~/nbs, but your ipython notebook is under courses/deeplearning1/nbs? In such a case, the relative path to the data folder would be: ‘…/…/…/data’ or something like that. You might want to move your data folder to the courses/deeplearning1/nbs folder and this should solve this for you.
To check what your notebok considers its working directory, you can do this:
import os
os.getcwd()
I registered to kaggle and downloaded the two files. But, I could’t find sample zip file. Should we copy some images to the “sample” folder as we choose ?
It would be really helpful if someone could add the new link was posted on the wiki’s lesson 1 and datasets pages. I’d do it myself, but it seems like you can’t edit the wiki as a MOOC student.
I am getting “Segmentation fault (core dumped)” error when downloading the dogscats.zip as follows, I have not found anyone asked this question. Can you please help? I am using aws p2.xlarge. Thank you !
I think the problem occurs when wget is in too small a tmux pane to display its progress bar properly. Increasing the size of the tmux pane (e.g. by pressing ‘Ctrl-B’, then ‘z’) seems to fix it. Press the same keys again to return the pane to its original size.