2025年1月26日 · The cross remains as you said, as a symbol of the degradation and suffering that Jesus submitted his body as a sacrifice for the sins of humanity. The cross with or without the body of Christ, is a symbol of Jesus sacrificed, and of Christ resurrected, becoming Jesus Christ

2023年12月27日 · 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.

2019年5月26日 · Meaning, in 5-fold cross validation we split the data into 5 and in each iteration the non-validation subset is used as the train subset and the validation is used as test set. But, in terms of the above mentioned example, where is the validation part in k-fold cross validation? We either have validation or test subset.

Apparently, cross_val_score splits the data in its original order without shuffling. Therefore, when I shuffled my data using sklearn.utils.shuffle I got more consistent results with the manual cross validation. I am new to scikitlearn so please forgive me if there is something wrong above.

2024年8月17日 · Nailing to a cross is “less severe” and “less humiliating” as the condemned dies within a day from loss of blood. Tying to a cross is the most severe form of punishment usually reserved for robbers. Insects invited by the stench from the body fluid crawl in and out of the condemned’s crevices.

2024年9月24日 · But the cross had nothing to do with Jesus Christ. The New Catholic Encyclopedia explains: “The cross is found in both pre-Christian and non-Christian cultures.” Jesus did not die on a cross. The Greek words translated “cross” basically mean “an upright stake,” “a timber,” or “a tree.”

2025年1月11日 · The Cross is a hammenek (He-Mem-Vav-Nun-Kaf), it is “a necklace or ornament ” of faith to the believer, but a chain of bondage to the unbeliever. The word Azal indeed holds a pil’ly or “wonderful secret”, for it is the combination of the Hebrew letter Alef (א), and the word for “shade” in Hebrew, being “Zal” or “Tsal” (צל).

2018年5月28日 · Cross validation is a procedure for validating a model's performance, and it is done by splitting the training data into k parts. We assume that the k-1 parts is the training set and use the other part is our test set.

2017年7月10日 · cross-entropy(CE) boils down to taking the log of the lone +ve prediction. So CE = -ln(0.1) which is = 2.3. This means that the -ve predictions dont have a role to play in calculating CE. This is by intention. On a rare occasion, it may be needed to make the -ve voices count.

2019年3月12日 · As an extra note, cross-entropy is mostly used as a loss function to bring one distribution (e.g. model estimation) closer to another one (e.g. true distribution). A well-known example is classification cross-entropy (my answer). Also, KL-divergence (cross-entropy minus entropy) is basically used for the same reason.