Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
print(loss) Implementation in TensorFlow In TensorFlow, the binary cross-entropy loss can be implemented using the tf.keras.losses.BinaryCrossentropy() function. Here is an example of how to use it: import tensorflow as tf # define true labels and predicted probabilities y_true = tf.constant([0, 1,