comsm0045-applied-deep-learning / tensorflow-labsheets Goto Github PK
View Code? Open in Web Editor NEWLab worksheets for the Applied Deep Learning Course.
Home Page: https://comsm0018-applied-deep-learning.github.io/
Lab worksheets for the Applied Deep Learning Course.
Home Page: https://comsm0018-applied-deep-learning.github.io/
In Lab Sheet 1.ipynb
, the 'GPU Stress Test' link is broken.
I think it should be this: https://github.com/COMSM0018-Applied-Deep-Learning/labsheets/blob/master/Lab_1_intro/Running%20TensorFlow.ipynb
How to...
scp
files (see cmder
for a good terminal emulator bundled with opensshcmder
).ssh/config
ssh-copy-id
to copy id file across so no need to use passwordsIn Part 7 the folders have the incorrect names - specifically the learning rates.
Instructions should clone on BC4 rather than locally and scping to avoid \n\r
issues prevalent on windows.
The login node the students are using don't have a working version of tensorflow
installed so they need to run tensorboard in the background instead.
The CIFAR10 server is very unreliable and frequently returns 404 or 500 errors, we need to be able to run lab sessions when the server is down. Let's host the dataset locally on BC4 in some shared storage and use that.
squeue
sbatch
Start by expanding the intro in lab 1
This seems to confuse people, just get them to open two SSH terminals and do tensorboard in one and an interactive session in another.
BC4 is set up with several "accounts". The ACRC have added one for this course which is comsm0018
. If this is added to the job submission script the jobs will get a better priority in the queue.
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