Lab sheets for the Advanced Deep Learning course
Kindly file an issue with a description of the problem you're facing, your setup, what you are observing and what you expect to happen instead.
Lab worksheets for the Applied Deep Learning Course.
Home Page: https://comsm0018-applied-deep-learning.github.io/
Lab sheets for the Advanced Deep Learning course
Kindly file an issue with a description of the problem you're facing, your setup, what you are observing and what you expect to happen instead.
squeue
sbatch
Start by expanding the intro in lab 1
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.
How to...
scp
files (see cmder
for a good terminal emulator bundled with opensshcmder
)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.
Instructions should clone on BC4 rather than locally and scping to avoid \n\r
issues prevalent on windows.
In Part 7 the folders have the incorrect names - specifically the learning rates.
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
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.
.ssh/config
ssh-copy-id
to copy id file across so no need to use passwordsThis seems to confuse people, just get them to open two SSH terminals and do tensorboard in one and an interactive session in another.
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