cosine_embedding_loss.hpp File Reference
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Classes | |
| class | CosineEmbeddingLoss< InputDataType, OutputDataType > |
| Cosine Embedding Loss function is used for measuring whether two inputs are similar or dissimilar, using the cosine distance, and is typically used for learning nonlinear embeddings or semi-supervised learning. More... | |
Namespaces | |
| mlpack | |
Linear algebra utility functions, generally performed on matrices or vectors. | |
| mlpack::ann | |
Artificial Neural Network. | |
Detailed Description
Definition of the Cosine Embedding loss function.
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Definition in file cosine_embedding_loss.hpp.