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* no of categories for efficientnet * need layer_init_uniforn * merge fail * merge fail * batchnorms * needs work * needs work how determine training * pow * needs work * reshape was needed * sum with axis * sum with axis and tests * broken * works again * clean up * Update test_ops.py * using sum * don't always update running_stats * space * self * default return running_stats * passes test * need to use mean * merge * testing * fixing pow * test_ops had a line dropped * undo pow * rebase |
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| .. | ||
| efficientnet.py | ||
| serious_mnist.py | ||
| train_efficientnet.py | ||