问题描述
我已经定义了链接中给出的注意力模型 InvalidArgumentError: in model.fit.generator in tensorflow,我的基本模型是
model_base = Sequential()
# Conv Layer 1
model_base.add(layers.SeparableConv2D(32,(9,9),activation='relu',input_shape=input_shape))
model_base.add(layers.MaxPooling2D(2,2))
# model.add(layers.Dropout(0.25))
# Conv Layer 2
model_base.add(layers.SeparableConv2D(64,activation='relu'))
model_base.add(layers.MaxPooling2D(2,2))
# model.add(layers.Dropout(0.25))
# Conv Layer 3
model_base.add(layers.SeparableConv2D(128,2))
# model.add(layers.Dropout(0.25))
model_base.add(layers.Conv2D(256,activation='relu'))
# model.add(layers.MaxPooling2D(2,2))
# Flatten the data for upcoming dense layer
#model_base.add(layers.Flatten())
#model_base.add(layers.Dropout(0.5))
#model_base.add(layers.Dense(512,activation='relu'))
print(model_base.summary())```
I face difficulty in training this model with an image dataset. It gives some mismatch in tensor dimension. can someone help?
解决方法
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