我正在尝试编写一个序列来在 keras 中对 RNN 进行排序。我使用我从网络上了解到的内容编写了这个程序。我首先对文本进行标记,然后将文本转换为序列并填充以形成特征变量X。目标变量Y获得了第一次转移x向左然后填充它。最后,我将特征和目标变量输入到 LSTM 模型中。
这是我为此目的在 keras 中编写的代码。
from keras.preprocessing.text import Tokenizer,base_filter
from keras.preprocessing.sequence import pad_sequences
from keras.models import Sequential
from keras.layers import Dense, Activation,Dropout,Embedding
from keras.layers import LSTM
def shift(seq, n):
n = n % len(seq)
return seq[n:] + seq[:n]
txt="abcdefghijklmn"*100
tk = Tokenizer(nb_words=2000, filters=base_filter(), lower=True, split=" ")
tk.fit_on_texts(txt)
x = tk.texts_to_sequences(txt)
#shifing to left
y = shift(x,1)
#padding sequence
max_len = 100
max_features=len(tk.word_counts)
X = pad_sequences(x, maxlen=max_len)
Y = pad_sequences(y, maxlen=max_len)
#lstm model
model = Sequential()
model.add(Embedding(max_features, 128, input_length=max_len, dropout=0.2))
model.add(LSTM(128, dropout_W=0.2, dropout_U=0.2))
model.add(Dense(max_len))
model.add(Activation('softmax'))
model.compile(loss='binary_crossentropy', optimizer='rmsprop')
model.fit(X, Y, batch_size=200, nb_epoch=10)
问题是它显示错误
Epoch 1/10
IndexError: index 14 is out of bounds for size 14
Apply node that caused the error: AdvancedSubtensor1(if{inplace}.0, Reshape{1}.0)
Toposort index: 80