BinaryCrossentropy¶

class dragon.vm.tensorflow.keras.losses.BinaryCrossentropy(
  reduction='mean',
  name=None
)[source]¶

A criterion to compute the binary cross entropy with contiguous targets.

The CrossEntropy function is defined as:

\[\text{CrossEntropy}(p_{t}) = -\log(p_{t}) \]

Examples:

criterion = tf.keras.cost.BinaryCrossentropy()
y_true = tf.constant([0., 0., 1., 1.])
y_pred = tf.constant([0.1, 0.2, 0.3, 0.4])
print(criterion(y_true, y_pred))  # 0.65247655