I am using Keras functional API to write an LSTM model but It throwing an error can somebody please help below is the code for the model the output shape is 65. I am using Keras 2.2.4 and TensorFlow 1.15
event_num = 65
droprate = 0.3
vector_size = 572
def DNN():
train_input=Input(shape=(vector_size*2,),name='Inputlayer')
train_in=LSTM(512)(train_input)
# train_in=BatchNormalization()(train_in)
train_in=Dropout(droprate)(train_in)
train_in=LSTM(256)(train_in)
# train_in=BatchNormalization()(train_in)
train_in=Dropout(droprate)(train_in)
train_in=Flatten()(train_in)
train_in=Dense(event_num)(train_in)
out=Activation('softmax')(train_in)
model=Model(input=train_input,output=out)
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])
return model