添加 LSTM 层但获取所需的位置参数:'units' 错误

adding LSTM layer but getting required positional argument: 'units' error

我正在尝试 运行 我的第一个机器学习模型。但是我收到以下错误。

return_sequences=True)) TypeError: init() missing 1 required positional argument: 'units'

from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense, LSTM, Dropout

model = Sequential()

model.add(LSTM(input_dim=1,
           output_dim=50,
           return_sequences=True))

model.add(Dropout(0.2))

model.add(LSTM(100, return_sequences=False))
model.add(Dropout(0.2))

model.add(Dense(output_dim=1))
model.add(Activation('linear'))

start = time.time()

model.compile(loss="mse", optimizer="rmsprop")

因为它说缺少参数单位我也尝试了下面的行,

model.add(LSTM(100,
           input_dim=1,
           output_dim=50,
           return_sequences=True))

然后收到此错误消息,但我不明白为什么我第一次尝试时没有出现。我错过了什么?

TypeError: ('Keyword argument not understood:', 'input_dim')

unitsLSTM的第一个参数,表示该层输出数据的最后一个维度。它显示第一个错误,因为您的代码在第一次尝试时没有 unitsunits 满足条件,因此在第二次尝试时显示第二个错误。

在这种情况下,您应该使用input_shape 参数来指定第一层输入的形状。你的第一个LSTMinput_shape应该有两个数据(timestepfeaturebatch_size默认不需要填写)因为LSTM需要三个维输入。假设您的时间步长为 10,则您的代码应更改为以下内容。

from tensorflow.python.keras.models import Sequential
from tensorflow.python.keras.layers import Dense, LSTM, Dropout,Activation

model = Sequential()
model.add(LSTM(units=100,input_shape=(10,1),return_sequences=True))
model.add(Dropout(0.2))
model.add(LSTM(100, return_sequences=False))
model.add(Dropout(0.2))
model.add(Dense(units=1))
model.add(Activation('linear'))
model.compile(loss="mse", optimizer="rmsprop")
print(model.summary())

_________________________________________________________________
Layer (type)                 Output Shape              Param #   
=================================================================
lstm (LSTM)                  (None, 10, 100)           40800     
_________________________________________________________________
dropout (Dropout)            (None, 10, 100)           0         
_________________________________________________________________
lstm_1 (LSTM)                (None, 100)               80400     
_________________________________________________________________
dropout_1 (Dropout)          (None, 100)               0         
_________________________________________________________________
dense (Dense)                (None, 1)                 101       
_________________________________________________________________
activation (Activation)      (None, 1)                 0         
=================================================================
Total params: 121,301
Trainable params: 121,301
Non-trainable params: 0
_________________________________________________________________