Блог

Я прочитал документацию Keras, но не нашел никаких объяснений следующего кода ошибки:

 import numpy as np
import pandas as pd
from tensorflow.keras import layers
from keras.optimizers import SGD
from keras.models import Sequential

from keras.layers.convolutional import Convolution2D, MaxPooling2D, ZeroPadding2D
from keras.layers.core import Dense, Activation, Dropout, Reshape, Flatten
from keras.utils.np_utils import to_categorical

data = pd.read_excel('oildata.xlsx')

firstBranch = Sequential()
#firstBranch.add(Reshape((1,28,28), input_shape=(,)))
firstBranch.add(LSTM(64, input_shape=(10, 1100)))
#firstBranch.add(MaxPooling2D((2, 2), strides=(2, 2)))
firstBranch.add(Flatten())

secondBranch = Sequential()

secondBranch.add(BatchNormalization(name = 'batch_norm_0', input_shape = (1000, 10, 1, 1)))
secondBranch.add(ConvLSTM2D(name ='conv_lstm_1',
                     filters = 64, kernel_size = (10, 1),                       
                     padding = 'same', 
                     return_sequences = False))

secondBranch.add(Dropout(0.10, name = 'dropout_1'))
secondBranch.add(BatchNormalization(name = 'batch_norm_1'))

#     model.add(ConvLSTM2D(name ='conv_lstm_2',
#                          filters = 64, kernel_size = (5, 1), 
#                          padding='same',
#                          return_sequences = False))

#     model.add(Dropout(0.20, name = 'dropout_2'))
#     model.add(BatchNormalization(name = 'batch_norm_2'))
secondBranch.add(Flatten())
secondBranch.add(RepeatVector(1000))
secondBranch.add(Reshape((1000, 10, 1, 64)))

#     model.add(ConvLSTM2D(name ='conv_lstm_3',
#                          filters = 64, kernel_size = (10, 1), 
#                          padding='same',
#                          return_sequences = True))

#     model.add(Dropout(0.20, name = 'dropout_3'))
#     model.add(BatchNormalization(name = 'batch_norm_3'))

 secondBranch.add(ConvLSTM2D(name ='conv_lstm_4',
                     filters = 64, kernel_size = (5, 1), 
                     padding='same',
                     return_sequences = True))

secondBranch.add(TimeDistributed(Dense(units=1, name = 'dense_1', activation = 'relu')))
secondBranch.add(Dense(units=1, name = 'dense_2'))
secondBranch.add(Flatten())

thirdBranch = Sequential()
thirdBranch.add(Reshape((1,28,28), input_shape=(784,)))
thirdBranch.add(Dense(10, activation='relu'))

thirdBranch.add(Flatten())

fourthBranch = Sequential()
#fourthBranch.add(Reshape((1,28,28), input_shape=(784,)))
fourthBranch.add(Dense(10, activation='relu'))

fourthBranch.add(Flatten())

#merged = Concatenate([firstBranch, secondBranch, thirdBranch,fourthBranch], mode='concat')
merged = Concatenate([firstBranch,secondBranch,thirdBranch,fourthBranch])

model = Sequential()
model.add(merged)
model.add(Dense(28*3, activation='relu'))
model.add(Dropout(0.5))
model.add(Dense(28, activation='relu'))
model.add(Dense(19))
model.add(Activation("softmax"))


sgd = SGD(lr=0.5, momentum=0.8, decay=0.1, nesterov=True)
model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
model.fit([X,X,X,X],X, batch_size=100, verbose=2)

yPred = model.predict([X,X,X,X],X)
 

Ошибка:

 TypeError                                 Traceback (most recent call last)
<ipython-input-385-11a86cc54884> in <module>
     88 sgd = SGD(lr=0.5, momentum=0.0, decay=0.0, nesterov=False)
     89 model.compile(loss='categorical_crossentropy', optimizer=sgd, metrics=['accuracy'])
---> 90 model.fit([X,X,X,X],X, batch_size=100, verbose=2)
     91 
     92 yPred = model.predict([X,X,X,X],X)
...........................................

TypeError: list indices must be integers or slices, not ListWrapper"
 

Что это значит ListWrapper ? Данные превращаются во фреймы и должны соответствовать модели.