tensorflow convnet image classification with CIFAR-10 dataset, 0.7 accuracy
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Chakib Benziane 1d241a18f0 run all cells 3 years ago
.ipynb_checkpoints trained model 70% accuracy 3 years ago
.gitignore ignore preprocessed data 3 years ago
checkpoint ignore preprocessed data 3 years ago
dlnd_image_classification.html run all cells on html output 3 years ago
dlnd_image_classification.ipynb run all cells 3 years ago
helper.py wip 3 years ago
image_classification.data-00000-of-00001 trained model 70% accuracy 3 years ago
image_classification.index trained model 70% accuracy 3 years ago
image_classification.meta trained model 70% accuracy 3 years ago
problem_unittests.py wip 3 years ago