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Jesus and the Cross - Biblical Archaeology Society Throughout the world, images of the cross adorn the walls and steeples of churches For some Christians, the cross is part of their daily attire worn around their necks Sometimes the cross even adorns the body of a Christian in permanent ink In Egypt, among other countries, for example, Christians wear a tattoo of the cross on their wrists And for some Christians, each year during the
Cross-attention mask in Transformers - Data Science Stack Exchange Cross-attention mask: Similarly to the previous two, it should mask input that the model "shouldn't have access to" So for a translation scenario, it would typically have access to the entire input and the output generated so far So, it should be a combination of the causal and padding mask 👏 Well-written question, by the way
Ancient Crucifixion Images - Biblical Archaeology Society This second-century graffito of a Roman crucifixion from Puteoli, Italy, is one of a few ancient crucifixion images that offer a first-hand glimpse of Roman crucifixion methods and what Jesus’ crucifixion may have looked like to a bystander
The Staurogram - Biblical Archaeology Society When did Christians start to depict images of Jesus on the cross? Larry Hurtado highlights an early Christian staurogram that sets the date back by 150–200 years
How Was Jesus Crucified? - Biblical Archaeology Society Gospel accounts of Jesus’s execution do not specify how exactly Jesus was secured to the cross Yet in Christian tradition, Jesus had his palms and feet pierced with nails Even though Roman execution methods did include crucifixion with nails, some scholars believe this method only developed after Jesus’s lifetime
The cross-entropy error function in neural networks In Mathematics Kullback-Leiber divergence (KL), Cross-Entropy (CE), Entropy (H) always mean only one thing, but the term Entropy unfortunately can vary from the scientific community In any case, the good book on the subject "Information Theory is the book "Elements of Information Theory" by Thomas M Cover, Joy A Thomas " from 1991
Cross-entropy loss explanation - Data Science Stack Exchange In "cross"-entropy, as the name suggests, we focus on the number of bits required to explain the difference in two different probability distributions The best case scenario is that both distributions are identical, in which case the least amount of bits are required i e simple entropy In mathematical terms, H(y, ˆy) = − ∑ i yiloge(ˆyi)