为什么在我拟合模型时代码会生成错误”ValueError：层“sequential_3”需要 1 个输入，但它接收到 2 个输入张量

Question

while I am trying to fit the model on Quora dataset this error generated. please help me. i am a very beginner in this field

from tensorflow.keras.layers import *
#create the embedding layer
#len(embeddings) = 85790, embeddingDim = 300
e = Embedding(len(embeddings), embeddingDim, weights= 
[embeddings],input_length=maxSeqLength,trainable=False)
#embedding_layer = Embedding(total_words, embedding_dim, weights=[embedding_matrix], 
input_length=max_length, trainable=False)

from tensorflow.keras.models import *
from tensorflow.keras.layers import *
# define model
model = Sequential()
model.add(e)
model.add(SimpleRNN(128,activation='relu',return_sequences= True))
model.add(SimpleRNN(256,activation='relu'))
model.add(Dense(1, activation='sigmoid'))
print(model.summary())

model.fit([X_train['left'], X_train['right']], Y_train,epochs=5,validation_data= 
([X_validation['left'], X_validation['right']], Y_validation))

Answer 1

validation_data needs to be a tuple, as stated in the Keras API reference ( link ):

validation_data : ... validation_data could be: - tuple (x_val, y_val) of Numpy arrays or tensors - tuple (x_val, y_val, val_sample_weights) of Numpy arrays - dataset...

A tuple (x_val, y_val) of Numpy arrays or tensors.
A tuple (x_val, y_val, val_sample_weights) of NumPy arrays.

Reference to a similar question: https://stackoverflow.com/a/63604307/10145479