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- Adam and Eve - Biblical Archaeology Society
The brand-new collection in the Biblical Archaeology Society Library, Adam and Eve, highlights intriguing insights on women’s role in the Bible and ancient thought—some of which might even be called feminist, right in the heart of patriarchal world religions
- 如何理解Adam算法 (Adaptive Moment Estimation)？ - 知乎
Adam算法现在已经算很基础的知识，就不多说了。 3 鞍点逃逸和极小值选择 这些年训练神经网络的大量实验里，大家经常观察到，Adam的training loss下降得比SGD更快，但是test accuracy却经常比SGD更差（尤其是在最经典的CNN模型里）。 解释这个现象是Adam理论的一个关键。
- The Origin of Sin and Death in the Bible
The Wisdom of Solomon is one text that expresses this view What is the origin of sin and death in the Bible? Who was the first sinner? To answer the latter question, today people would probably debate whether Adam or Eve sinned first, but in antiquity, it was a different argument altogether They debated whether Adam or Cain committed the
- 机器学习2 -- 优化器（SGD、SGDM、Adagrad、RMSProp、Adam）
优化器对ACC影响也挺大的，比如上图Adam比SGD高了接近3个点。 故选择一个合适的优化器也很重要。 Adam收敛速度很快，SGDM相对要慢一些，但最终都能收敛到比较好的点 训练集上Adam表现最好，但验证集上SGDM最好。 可见SGDM在训练集和验证集一致性上，比Adam好。
- adam 算法在机器学习中的作用是什么？ - 知乎
Adam算法是一种基于梯度下降的优化算法，通过调整模型参数以最小化损失函数，从而优化模型的性能。 Adam算法结合了动量（Momentum）和RMSprop（Root Mean Square Propagation）两种扩展梯度下降算法的优势。 动量项考虑了之前梯度的累积信息，有助于加速参数更新方向。
- - Biblical Archaeology Society
The Adam and Eve story states that God formed Adam out of dust, and then Eve was created from one of Adam’s ribs Was it really his rib?
- 如何理解Adam算法 (Adaptive Moment Estimation)？ - 知乎
Adam 法是一种用于优化机器学习算法、尤其是深度学习模型训练过程中的广泛应用的优化方法。由 D P Kingma 和 J Ba 于 2014 年提出，Adam 结合了动量法（Momentum）和自适应学习率方法（如 Adagrad 和 RMSprop）的优点，能够在非凸优化问题中有效加速收敛，并且对大规模数据集和高维参数空间具有较好的适应
- Lilith - Biblical Archaeology Society
In most manifestations of her myth, Lilith represents chaos, seduction and ungodliness Yet, in her every guise, Lilith has cast a spell on humankind
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