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@aravindpai aravindpai/10_6.py
Last active Mar 12, 2020

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model=Sequential()
#embedding layer
model.add(Embedding(size_of_vocabulary,300,weights=[embedding_matrix],input_length=100,trainable=False))
#lstm layer
model.add(LSTM(128,return_sequences=True,dropout=0.2))
#Global Maxpooling
model.add(GlobalMaxPooling1D())
#Dense Layer
model.add(Dense(64,activation='relu'))
model.add(Dense(1,activation='sigmoid'))
#Add loss function, metrics, optimizer
model.compile(optimizer='adam', loss='binary_crossentropy',metrics=["acc"])
#Adding callbacks
es = EarlyStopping(monitor='val_loss', mode='min', verbose=1,patience=3)
mc=ModelCheckpoint('best_model.h5', monitor='val_acc', mode='max', save_best_only=True,verbose=1)
#Print summary of model
print(model.summary())
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