Learning Transferable Architectures for Scalable Image Recognition

Barret ZophVijay VasudevanJonathon ShlensQuoc V. Le

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Developing neural network image classification models often requires significant architecture engineering. In this paper, we study a method to learn the model architectures directly on the dataset of interest... (read more)

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