LostTech.TensorFlow : API Documentation

Type CosineSimilarity

Namespace tensorflow.keras.losses

Parent LossFunctionWrapper

Interfaces ICosineSimilarity

Computes the cosine similarity between `y_true` and `y_pred`.

Usage: Usage with the `compile` API:
Show Example 
cosine_loss = tf.keras.losses.CosineSimilarity(axis=1)
            loss = cosine_loss([[0., 1.], [1., 1.]], [[1., 0.], [1., 1.]])
            # l2_norm(y_true) = [[0., 1.], [1./1.414], 1./1.414]]]
            # l2_norm(y_pred) = [[1., 0.], [1./1.414], 1./1.414]]]
            # l2_norm(y_true). l2_norm(y_pred) = [[0., 0.], [0.5, 0.5]]
            # loss = mean(sum(l2_norm(y_true). l2_norm(y_pred), axis=1))
                   = ((0. + 0.) +  (0.5 + 0.5)) / 2 
 print('Loss: ', loss.numpy())  # Loss: 0.5

Properties

Public properties

object fn get; set;

string name get; set;

object PythonObject get;

string reduction get; set;