Monday, February 9, 2015

Microsoft Research Surpasses Human-Level Performance On ImageNet Classification Dataset

Microsoft Research has recently published an academic paper titled “Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification”. In this paper, they are proposing a new rectifier model that surpasses human-level performance on visual recognition challenge. Rectified activation units (rectifiers) are essential for state-of-the-art neural networks. In this work, we study rectifier neural networks […]


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