CNTK（Microsoft Cognitive Toolkit）支持自定義損失函數和評估指標，可以通過以下步驟實現：
import cntk as C
def custom_loss_function(output, label):
# Define custom loss function here
loss = C.square(output - label)
return loss
output = C.input_variable(shape=(1,))
label = C.input_variable(shape=(1,))
loss = custom_loss_function(output, label)
import cntk as C
def custom_evaluation_metric(output, label):
# Define custom evaluation metric here
metric = C.squared_error(output, label)
return metric
output = C.input_variable(shape=(1,))
label = C.input_variable(shape=(1,))
evaluation_metric = custom_evaluation_metric(output, label)
通過以上步驟，可以在CNTK中實現自定義損失函數和評估指標。在訓練模型時，可以將這些自定義的函數應用到模型中，以實現更靈活和個性化的模型訓練和評估。
