financial/ fai’nnl, fi-/ a.财政的,金融的 find/ faind/ vt.找到;发觉;找出 finding/ faindi/ n.发现;调查的结果 fine/ fain/ a.美好的;纤细的 fine/ fain/ n.罚金,罚款 finger/ ‘fig/ n.手指;指状物 finish/ ‘fini/ vt.完成,结束 n.结束 fire/ ‘fai/ n.火;火灾 vi.开火 fireman/ ‘...
finance/ fai’nns, fi-/ n.财政,金融;财源 financial/ fai’nnl, fi-/ a.财政的,金融的 find/ faind/ vt.找到;发觉;找出 finding/ faindi/ n.发现;调查的结果 fine/ fain/ a.美好的;纤细的 fine/ fain/ n.罚金,罚款 finger/ ‘fig/ n.手指;指状物 finish/ ‘fini/ vt.完成,结束 n.结束 fir...
解决多分类问题,一般会在神经网络的输出最后一层使用softmax()函数,来获得每一个类别的预测概率。 2.NNLLoss()函数——不建议使用 计算多分类问题的交叉熵有三个步骤:softmax过程,求log过程,以及最后取负相乘求和。NNLLoss()函数实现的就是最后一步:取负相乘求和。 3.CrosssEntropyLoss()——建议采用 这个函...
221 + "loss_func = nn.MSELoss()\n", 222 + "Gradloss = nn.L1Loss()" 223 + ] 224 + }, 225 + { 226 + "cell_type": "code", 227 + "execution_count": 3, 228 + "metadata": {}, 229 + "outputs": [ 230 + { 231 + "name": "stdout", 232 + "output...
"Gradloss = nn.L1Loss()" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Iter-0; MTL loss: 0.8929\n", "Iter-1; MTL loss: 0.71\n", "Iter-2; MTL loss: 0.3467\n", "Iter...
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Data from a study by Sheridan et al.31 demonstrated the strict requirement for aromatic residues at the first and third posi- tions of the F-site while replacement of the proline with phenylalanine, tryptophan or glutamine results in no appreciable loss in phosphorylation efficiency in an F-...
Physiological factors such as age and sex have been shown to be risk factors for adverse effects in the liver, including liver diseases and drug-induced liver injury. Previously, we have reported age- and sex-related significant differences in hepatic basal gene expression in rats during the life...
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