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The alpha variable's value of "avg_pool" and "skip_connect" is the mostly biggest over the others, and "none" alpha is very big to 0.6, when search the normal_cell. And it is the same with reduce_cell.
The text was updated successfully, but these errors were encountered:
@shuangjian24 this happens on my own dataset cnn classification too, and i find something in paper PC-darts, which can explain this, pooling op(or skip connect) has no parameters so it will perform better than parameter-op
The alpha variable's value of "avg_pool" and "skip_connect" is the mostly biggest over the others, and "none" alpha is very big to 0.6, when search the normal_cell. And it is the same with reduce_cell.
The text was updated successfully, but these errors were encountered: