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assignments/2017/assignment3.md

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@@ -27,7 +27,7 @@ You can work on the assignment in one of two ways: locally on your own machine,
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As part of this course, you can use Google Cloud for your assignments. We recommend this route for anyone who is having trouble with installation set-up, or if you would like to use better CPU/GPU resources than you may have locally.
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#### GPU Resources
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GPUs are **not required** for this assignment, but will help to speed up training and processing time for questions 3-5. Please see the Google Cloud GPU set-up tutorial [here](http://cs231n.github.io/gce-tutorial-gpus/) for instructions. The GPU instances are much more expensive, so use them only when needed.
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GPUs are **not required** for this assignment, but will help to speed up training and processing time for questions 3-5. Please see the Google Cloud GPU set-up tutorial [here](http://cs231n.github.io/gce-tutorial-gpus/) for instructions. The GPU instances are much more expensive, so use them only when needed. **We only recommend a GPU for Q5 (GANs)**, Q3 and Q4 run in under a minute even on CPU, while Q5 can take 30+ minutes for your model to converge on a CPU (versus under a minute on the Google Cloud GPUs).
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Once you've got the cloud instance running, make sure to run the following line to enter the virtual environment that we prepared for you (you do **not** need to make your own virtual environment):
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