tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy

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Chakib Benziane 1d241a18f0 run all cells		7 lat temu
.ipynb_checkpoints	trained model 70% accuracy	7 lat temu
.gitignore	ignore preprocessed data	7 lat temu
checkpoint	ignore preprocessed data	7 lat temu
dlnd_image_classification.html	run all cells on html output	7 lat temu
dlnd_image_classification.ipynb	run all cells	7 lat temu
helper.py	wip	7 lat temu
image_classification.data-00000-of-00001	trained model 70% accuracy	7 lat temu
image_classification.index	trained model 70% accuracy	7 lat temu
image_classification.meta	trained model 70% accuracy	7 lat temu
problem_unittests.py	wip	7 lat temu