Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
= tf.constant([[0, 1, 0], [0, 0, 1], [1, 0, 0]]) y_pred = tf.constant([[0.8, 0.1, 0.1], [0.2, 0.3, 0.5], [0.1, 0.6, 0.3]]) # create the loss object cce_loss = tf.keras.losses.CategoricalCrossentropy() # calculate the loss loss = cce_loss(y_true, y_pred) # print the loss print(loss.numpy()) In this