Episode 8 (optional): using a GPU - Githubissues

carpentries-incubator / deep-learning-intro

Learn Deep Learning with Python

https://carpentries-incubator.github.io/deep-learning-intro/

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Episode 8 (optional): using a GPU #55

Open svenvanderburg opened 3 years ago

svenvanderburg commented 3 years ago

Rationale

Quickly show that using a GPU for training a network is both easy and speeds up training significantly.

Learning objectives

Use a GPU when training a neural network.
Describe why using a GPU speeds up training significantly.

Questions

Why would I use a GPU when training a network?
How do set Keras to use the GPU on my machine?

Keypoints

When applying state-of-the-art deep learning techniques you need to use a GPU for training.

Outline

Train a state-of-the-art network on a dataset on CPU, and let learners experience that this is too slow.
Show how to enable GPU in keras
Train the same network on the same dataset with GPU.
Explain (superficially) why using a GPU speeds up learning so much
Provide context and links to resources for setting this up on different systems (i.e. AWS, google cloud, DAS, SURF cloud)

svenvanderburg commented 3 years ago

We could use google colab, it provides free access to a notebook on a GPU machine.