Tom's Hardware on MSN
Nvidia details Rubin architectural optimizations for inference
Nvidia has detailed new features of its Rubin architecture.
In deep learning, classification models don’t just need to make predictions—they need to express confidence. That’s where the Softmax activation function comes in. Softmax takes the raw, unbounded ...
ソフトマックス関数（softmax function）は、機械学習で画像などを複数クラス（種類）に分類する問題を解くためによく使われます。今記事では、ソフトマックスの意味と計算方法を解説します。
Abstract: Approximate computing has emerged as a new paradigm that provides power-efficient and high-performance arithmetic designs by relaxing the stringent requirement of accuracy. Nonlinear ...
Abstract: The softmax function has been widely used in deep neural networks (DNNs), and studies on efficient hardware accelerators for DNN have also attracted tremendous attention. However, it is very ...
(Note: the SphereFace implementation is not exactly as described in their paper but instead uses the 'trick' presented in the ArcFace paper to use arccosine instead of the double angle formula) There ...
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