nVertices-1:i-1;//int iplus = (i==nVertices-1)?0:i+1;//Parallel sides checkfloat cross = normals[iminus].Cross(normals[i]); cross = b2Math.b2Clamp(cross,-1.0f,1.0f); float angle = (float)Math.Asin(cross);if(angle <= Box2DSettings.b2_angularSlop) { noError =false; error...
float dot(const Vec2& v) const; //点积: x*v.x + y*v.y float cross(const Vec2& v) const; //叉积: x*v.y - y*v.x Vec2 project(const Vec2& v) const; //投影: 向量在v上的投影向量 float distance(const Vec2& v) const; //与v的距离. float distanceSquared(const Vec2& v...
constfloatdenom = crossProduct2Vector(A, B, C, D); if(denom ==0) { // Lines parallel or overlap return false; } if(S !=nullptr) *S = crossProduct2Vector(C, D, C, A) / denom; if(T !=nullptr) *T = crossProduct2Vector(A, B, C, A) / denom; return true; } /**...
[8] AgeDB: The First Manually Collected, In-the-Wild Age Database [9] Cross-age lfw: A database for studying cross-age face recognition in unconstrained environments [10] Cross-pose lfw: A database for studying cross-pose face recognition in unconstrained environments [11] ArcFace: Additive ...
调用cross entropy损失函数,得到loss 根据两个weight, 10.0和0.1,来把另外的两个Loss:codeword diversity loss(Loss-2),以及feature L2 penalty loss(Loss-3),追加到contrastive loss上。 组装一些Log 还是组装Loss 计算预测的准确率。例如,从(transformer的输出=ct)ct如果顺利预测出来了(被mask的zt对应的量化向量=...
Code and pre-trained models related to theBi-Sent2vec, cross-lingual extension of Sent2Vec can be foundhere. Sent2vec TLDR: This library provides numerical representations (features) for words, short texts, or sentences, which can be used as input to any machine learning task. ...
Performance was measured by calculating accuracy and area under the Receiver Operating Characteristic (ROC) curve (AUC) of a cross-validated (CV) set and a separate testing set. We calculated the accuracy of the ICD-9 billing codes as a baseline to be 90.00% with an AUC of 0.900, the ...
Cross-validation and independent tests We performed 10-fold cross validation tests using each of the aforementioned benchmark datasets where, in each iteration, nine folds were used for training the model while the remaining fold was used to validate the prediction performance of the trained model....
It supports all original settings plus stop-words, word delimiter chars set and end of sentence chars set. word2vec++ is cross-platform. Some platform/compiler combinations which have been tested: Linux/GCC 5.4+ Linux/Clang 3.4+ OSX/Clang 3.4+ FreeBSD/Clang 3.4+ Windows/MinGW (GCC 6.3) ...
以TensorFlow的交叉熵函数 tf.nn.softmax_cross_entropy_with_logits(logits, labels, name=None) 作为参考。 参数logits:就是神经网络最后一层的输出(W * X 矩阵),如果有batch的话,它的大小就是[batchsize,num_classes],单样本的话,大小就是num_classes。