Keras-使用Tensorflow后端的LSTM

Question

我正在從這里嘗試此示例代碼。 之前我在使用Keras時遇到問題-Windows上的Theano現在剛遷移到Ubuntu上的Keras-Tensorflow。 版本是Keras（2.0.2）和TF（0.12.1）。

keras.__version__        # 2.0.2
tensorflow.__version__   # 0.12.1

import numpy
from keras.datasets import imdb
from keras.models import Sequential
from keras.layers import Dense
from keras.layers import LSTM
from keras.layers.embeddings import Embedding
from keras.preprocessing import sequence
# fix random seed for reproducibility
numpy.random.seed(7)
# load the dataset but only keep the top n words, zero the rest
top_words = 5000

(X_train, y_train), (X_test, y_test) = imdb.load_data(nb_words=top_words)
# truncate and pad input sequences

max_review_length = 500

X_train = sequence.pad_sequences(X_train, maxlen=max_review_length)
X_test = sequence.pad_sequences(X_test, maxlen=max_review_length)
# create the model

embedding_vecor_length = 32
model = Sequential()
model.add(Embedding(top_words, embedding_vecor_length, input_length=max_review_length))
model.add(LSTM(100))
model.add(Dense(1, activation='sigmoid'))
model.compile(loss='binary_crossentropy', optimizer='adam', metrics=['accuracy'])
print(model.summary())

model.fit(X_train, y_train, nb_epoch=3, batch_size=64)
# Final evaluation of the model

scores = model.evaluate(X_test, y_test, verbose=0)
print("Accuracy: %.2f%%" % (scores[1]*100))

錯誤如下，解決該錯誤的任何幫助將不勝感激

  File "/usr/local/lib/python2.7/dist-packages/tensorflow/python/framework
  /tensor_util.py", line 302, in _AssertCompatible
  (dtype.name, repr(mismatch), type(mismatch).__name__))


**TypeError: Expected int32, got list containing Tensors of type '_Message' instead.**

Answer 1

您的代碼在新版本的Tensorflow上運行良好（我在Tensorflow 1.0和Keras 2.0.2上進行了檢查）。 您使用的是Tensorflow的舊版本。 請更新您的Tensorflow，它應該可以正常運行。 Tensorflow當前可用的版本是1.1