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

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Chakib Benziane 1d241a18f0 run all cells		5 years ago
.ipynb_checkpoints	trained model 70% accuracy	5 years ago
.gitignore	ignore preprocessed data	5 years ago
checkpoint	ignore preprocessed data	5 years ago
dlnd_image_classification.html	run all cells on html output	5 years ago
dlnd_image_classification.ipynb	run all cells	5 years ago
helper.py	wip	5 years ago
image_classification.data-00000-of-00001	trained model 70% accuracy	5 years ago
image_classification.index	trained model 70% accuracy	5 years ago
image_classification.meta	trained model 70% accuracy	5 years ago
problem_unittests.py	wip	5 years ago