[英]ValueError: Error when checking input: expected dense_1_input to have shape (1,) but got array with shape (5000,)
I am trying to build an NLP model for Sarcasm detection dataset on kaggle.I am a beginner in implementing neural networks and this is the first time I am implementing neural network using Keras.Here is my Code:我正在尝试为 kaggle 上的讽刺检测数据集构建 NLP model。我是实现神经网络的初学者,这是我第一次使用 Keras 实现神经网络。这里是我的代码:
# Neural Network.
import tensorflow as tf
print(tf.__version__)
import keras
print(keras.__version__)
from keras.models import Sequential
from keras.layers import Dense
# Create a new sequential model.
model = Sequential()
# Add input layer and Dense layer.
# Input layer contains 1 feature whereas first hidden layer has 5 neurons.
model.add(Dense(5,input_shape=(1,),activation="relu"))
# Add a final output one neuron layer.
model.add(Dense(1,activation="sigmoid"))
# Summarize a model:
model.summary()
# Model output shape.
print(model.output_shape)
# Model config.
print(model.get_config())
# List all weight tensors.
print(model.get_weights())
# Compile the Model.
model.compile(loss='binary_crossentropy',optimizer='adam',metrics=['accuracy'])
# Fit the model.
model.fit(vector_array_train,y_train,epochs=20,batch_size=1, verbose=1)
Output for the code is: Output 的代码是:
2.0.0
Using TensorFlow backend.
2.3.1
2020-08-01 18:58:02.364557: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
Model: "sequential_1"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
dense_1 (Dense) (None, 5) 10
_________________________________________________________________
dense_2 (Dense) (None, 1) 6
=================================================================
Total params: 16
Trainable params: 16
Non-trainable params: 0
_________________________________________________________________
(None, 1)
{'name': 'sequential_1', 'layers': [{'class_name': 'Dense', 'config': {'name': 'dense_1', 'trainable': True, 'batch_input_shape': (None, 1), 'dtype': 'float32', 'units': 5, 'activation': 'relu', 'use_bias': True, 'kernel_initializer': {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}, {'class_name': 'Dense', 'config': {'name': 'dense_2', 'trainable': True, 'dtype': 'float32', 'units': 1, 'activation': 'sigmoid', 'use_bias': True, 'kernel_initializer': {'class_name': 'VarianceScaling', 'config': {'scale': 1.0, 'mode': 'fan_avg', 'distribution': 'uniform', 'seed': None}}, 'bias_initializer': {'class_name': 'Zeros', 'config': {}}, 'kernel_regularizer': None, 'bias_regularizer': None, 'activity_regularizer': None, 'kernel_constraint': None, 'bias_constraint': None}}]}
[array([[-0.85931516, 0.5637381 , -0.6789112 , 0.1663289 , 0.1063652 ]],
dtype=float32), array([0., 0., 0., 0., 0.], dtype=float32), array([[ 0.6834357 ],
[ 0.5921519 ],
[-0.71200275],
[ 0.13235688],
[ 0.589782 ]], dtype=float32), array([0.], dtype=float32)]
Traceback (most recent call last):
File "C:/Users/sumed/Desktop/DataScience_Projects/NLPProjects/Sarcasm_Detection/sarcasm_detection.py", line 180, in <module>
model.fit(vector_array_train,y_train,epochs=20,batch_size=1, verbose=1)
File "C:\Python3.6.6\lib\site-packages\keras\engine\training.py", line 1154, in fit
batch_size=batch_size)
File "C:\Python3.6.6\lib\site-packages\keras\engine\training.py", line 579, in _standardize_user_data
exception_prefix='input')
File "C:\Python3.6.6\lib\site-packages\keras\engine\training_utils.py", line 145, in standardize_input_data
str(data_shape))
ValueError: Error when checking input: expected dense_1_input to have shape (1,) but got array with shape (5000,)
I am getting an error at last code line: ValueError: Error when checking input: expected dense_1_input to have shape (1,) but got array with shape (5000,)我在最后一行代码出现错误:ValueError: Error when checks input: expected dense_1_input to have shape (1,) but got array with shape (5000,)
As a newbie,I am not able to understand, whats wrong here?作为一个新手,我无法理解,这里有什么问题? Please help.
请帮忙。
When you defined the model, you told the model to expect an input of shape (1,) here: model.add(Dense(5,input_shape=(1,),activation="relu"))
当您定义 model 时,您告诉 model 期望在此处输入形状 (1,):
model.add(Dense(5,input_shape=(1,),activation="relu"))
change it to model.add(Dense(5,input_shape=(None,),activation="relu"))
.将其更改为
model.add(Dense(5,input_shape=(None,),activation="relu"))
。 Alternatively you can also set it to 5000 instead of None
或者,您也可以将其设置为 5000 而不是
None
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