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AutoML for large scale image classification and object detection
- runesoerensen 9y ago"On ImageNet image classification, NASNet achieves a prediction accuracy of 82.7% on the validation set, surpassing all previous Inception models that we built [2, 3, 4]. Additionally, NASNet performs 1.2% better than all previous published results and is on par with the best unpublished result reported on arxiv.org"
- wakkaflokka 9y agoI love the concept of AutoML. One of the first things I'll do after cleaning data and engineering features is setup TPOT on another box and let it run while I continue on with my model building. I wonder at what point the data cleaning, feature engineering, and model building will all be entirely automated. And what that means for the role of a data scientist within a non-tech organization.