小编isa*_*lla的帖子

我曾尝试构建CNN 1D，但口译员说：

AttributeError：“ ProgbarLogger”对象没有属性“ log_values”

这是代码片段：

model = Sequential()
model.add(Conv1D(200, 20, activation='relu', padding='same',input_shape=(1154,1024))
print(model.summary())
model.compile(optimizer='adam',
          loss='sparse_categorical_crossentropy',
          metrics=['accuracy'])
history=model.fit(X, y,batch_size=10, epochs=25,validation_split=0.7)

这是错误：

Layer (type)                 Output Shape              Param #   
=================================================================
conv1d_1 (Conv1D)            (None, 1154, 200)         4096200   
=================================================================
Total params: 4,096,200
Trainable params: 4,096,200
Non-trainable params: 0
_________________________________________________________________
None

Train on 0 samples, validate on 1 samples
Epoch 1/25
Traceback (most recent call last):
  File "binary_classification.py", line 59, in <module>
    history=model.fit(X, y,batch_size=10, epochs=25,validation_split=0.7)
  File "/home/isabella/.local/lib/python3.6/site-packages/keras/engine/training.py",
line 1039, in fit
    validation_steps=validation_steps)
  File "/home/isabella/.local/lib/python3.6/site-packages/keras/engine/training_arrays.py",
line …