python - 我的自定义 keras 损失函数的问题

Question

我是 Tensorflow/Keras 的初学者，我想自定义我的损失函数，我的代码在这里：

model = tf.keras.models.Sequential([
    tf.keras.layers.Conv2D(32, kernel_size=(3, 3),
                 activation='relu',
                 input_shape=input_shape),
    tf.keras.layers.Conv2D(64, kernel_size=(3, 3),
                 activation='relu'),
    tf.keras.layers.MaxPooling2D(pool_size=(2, 2)),
    tf.keras.layers.Dropout(0.25),
    tf.keras.layers.Flatten(),
    tf.keras.layers.Dense(512, activation=tf.nn.relu),
    tf.keras.layers.Dropout(0.2),
    tf.keras.layers.Dense(4, activation=tf.nn.softmax)
])
def lossFunction(y_true, y_pred):
    y_true = tf.placeholder(shape=[330,28,28,3], dtype=tf.float32)
    y_pred = tf.placeholder(shape=[1,28,28,3], dtype=tf.float32)
    y_true = tf.convert_to_tensor(y_true, dtype=tf.float32)
    y_pred = tf.convert_to_tensor(y_pred, dtype=tf.float32)
    loss=(1/1568)*(K.abs(K.pow((y_true - y_pred),2)))
    return loss  

lossFunction(x_train,arrTest) 

with tf.device('/gpu:0'):
    model.compile(optimizer = 'adam',loss=lossFunction, metrics=['accuracy'])
    model_log = model.fit(x_train, arrTest, batch_size=x_train.shape[0], epochs=x_train.shape[0],verbose=1)
    score = model.evaluate(x_test, y_test, verbose=1)

我收到这些错误：

  File "Classification.py", line 184, in <module>
    model_log = model.fit(x_train, arrTest, batch_size=x_train.shape[0], epochs=x_train.shape[0],verbose=1)
  File "/home/sabrinamehlal/.local/lib/python2.7/site-packages/tensorflow/python/keras/engine/training.py", line 776, in fit
    shuffle=shuffle)
  File "/home/sabrinamehlal/.local/lib/python2.7/site-packages/tensorflow/python/keras/engine/training.py", line 2436, in _standardize_user_data
    training_utils.check_array_lengths(x, y, sample_weights)
  File "/home/sabrinamehlal/.local/lib/python2.7/site-packages/tensorflow/python/keras/engine/training_utils.py", line 456, in check_array_lengths
    'and ' + str(list(set_y)[0]) + ' target samples.')
ValueError: Input arrays should have the same number of samples as target arrays. Found 330 input samples and 1 target samples.

我的 x_train =[330,28,28,3] 的形状和我的 arrTest 的形状 = [1,28,28,3]

请问你能帮帮我吗？

标签： pythontensorflowkerasloss-function