tf.keras.metrics.binary_crossentropy

Computes the binary crossentropy loss.

Used in the notebooks

Used in the tutorials

Standalone usage:

y_true = [[0, 1], [0, 0]]
y_pred = [[0.6, 0.4], [0.4, 0.6]]
loss = tf.keras.losses.binary_crossentropy(y_true, y_pred)
assert loss.shape == (2,)
loss.numpy()
array([0.916 , 0.714],