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It would be hugely beneficial for incoming PetaVision users to have some executable tutorials for running common networks. I will get this started by making a IPython Notebook tutorial on training a single layer LCA network on CIFAR and visualizing the filters learned. Another useful one would be generating classification scores on the same dataset, using the LCA network as a base layer. In general, any notebook showcasing possible analysis in PetaVision would be useful. These notebooks will live in the directory OpenPV/tutorials/notebooks. I will also write some shell scripts for downloading standard small datasets, such as CIFAR and MNIST, from their respective websites. This way a new user can easily download the datasets and run our tutorials.
The text was updated successfully, but these errors were encountered:
It would be hugely beneficial for incoming PetaVision users to have some executable tutorials for running common networks. I will get this started by making a IPython Notebook tutorial on training a single layer LCA network on CIFAR and visualizing the filters learned. Another useful one would be generating classification scores on the same dataset, using the LCA network as a base layer. In general, any notebook showcasing possible analysis in PetaVision would be useful. These notebooks will live in the directory
OpenPV/tutorials/notebooks
. I will also write some shell scripts for downloading standard small datasets, such as CIFAR and MNIST, from their respective websites. This way a new user can easily download the datasets and run our tutorials.The text was updated successfully, but these errors were encountered: