metric.NegativeLogLikelihood(eps=1e-12, name='nll-loss', output_names=None, label_names=None) 参数: eps:(float) - 当预测值为 0 时,负对数似然损失未定义,因此预测值会与小常数相加。 name:(str) - 此度量实例的名称用于显示。 output_names:(list of str, or None) - 使用update_dict 更新时...
a plurality of embedding vectors configured to differentiate audio samples by speaker, computing a generalized negative log-likelihood loss (GNLL) value for the training batch based, at least in part, on the embedding vectors, and modifying weights of the neural network to reduce the GNLL value...
a plurality of embedding vectors configured to differentiate audio samples by speaker, computing a generalized negative log-likelihood loss (GNLL) value for the training batch based, at least in part, on the embedding vectors, and modifying weights of the neural network to reduce the GNLL value...
F.nLL - Return the negative log likelihood for a set of distance values.Trent McDonaldWEST Inc
Function to calculate negative log-likelihood (NLL)Ozgur Asar
Penalized negative log likelihood
Get negative log likelihood (NLL) values from a report file listMerrill Rudd
Calculate the relative difference between iterations of the negative log-likelihoods.nll
𝐿nllLnll is the negative log-likelihood of the inlier patch which is replaced with the synthetic sample. Formally, we have 𝐿nll(𝛾)=−ln𝑝𝛾(𝐱𝑐)Lnll(γ)=−lnpγ(xc), where 𝑝𝛾pγ is defined in (1) and 𝐱𝑐xc is a random crop of the given input image,...