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tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy
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spike 3a85c97789 setup github pages
2017-04-01 02:47:08 +02:00
.ipynb_checkpoints trained model 70% accuracy 2017-03-06 20:20:15 +00:00
.gitignore ignore preprocessed data 2017-03-06 20:19:24 +00:00
checkpoint ignore preprocessed data 2017-03-06 20:19:24 +00:00
dlnd_image_classification.ipynb run all cells 2017-03-06 20:57:24 +00:00
helper.py wip 2017-03-06 16:11:08 +01:00
image_classification.data-00000-of-00001 trained model 70% accuracy 2017-03-06 20:20:15 +00:00
image_classification.index trained model 70% accuracy 2017-03-06 20:20:15 +00:00
image_classification.meta trained model 70% accuracy 2017-03-06 20:20:15 +00:00
index.html setup github pages 2017-04-01 02:47:08 +02:00
problem_unittests.py wip 2017-03-06 16:11:08 +01:00