Deep Learning, Machine Learning, Artificial Intelligence, Loss Function, Neural Networks.
1, 0]) y_pred = tf.constant([0.1, 0.9, 0.8, 0.3]) # define the loss function bce_loss = tf.keras.losses.BinaryCrossentropy() # calculate the loss loss = bce_loss(y_true, y_pred) # print the loss print(loss) Implementation in PyTorch In PyTorch, the binary cross-entropy loss can be implemented using