Difference between revisions of "DSC180F20W7"
From Immersive Visualization Lab Wiki
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UNDER CONSTRUCTION | UNDER CONSTRUCTION | ||
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| + | For Checkpoint 2 we are going to add deep learning to our toolkit, in order to eventually apply some XAI techniques (but that will not happen until the final checkpoint). | ||
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| + | PyTorch is a machine learning API which builds on top of Torch. It has C++ and Python interfaces, of which we are only going to use the Python interface. | ||
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| + | For this checkpoint you need to create PyTorch code in Python to do the following things: | ||
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| + | * [https://medium.com/howtoai/pytorch-torchvision-coco-dataset-b7f5e8cad82 import the COCO dataset using the torchvision package] | ||
| + | * teach a convolutional neural network image classification | ||
| + | * come up with an image classification demo and analyze its results | ||
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Revision as of 21:58, 11 November 2020
Replication Checkpoint #2
UNDER CONSTRUCTION
For Checkpoint 2 we are going to add deep learning to our toolkit, in order to eventually apply some XAI techniques (but that will not happen until the final checkpoint).
PyTorch is a machine learning API which builds on top of Torch. It has C++ and Python interfaces, of which we are only going to use the Python interface.
For this checkpoint you need to create PyTorch code in Python to do the following things:
- import the COCO dataset using the torchvision package
- teach a convolutional neural network image classification
- come up with an image classification demo and analyze its results
