Why is 'sequence_autoencoder' never used in the next code?

[falhafizh]

Hi, Sir I want to ask, in your notebook here you define sequence_autoencoder variabel and train it as TRAIN AUTOENCODER.

sequence_autoencoder = Model(inputs_ae, out_ae) sequence_autoencoder.compile(optimizer='adam', loss='mse')

### TRAIN AUTOENCODER ### es = EarlyStopping(patience=6, verbose=2, min_delta=0.001, monitor='val_loss', mode='auto', restore_best_weights=True) sequence_autoencoder.fit(X_train, X_train, validation_data=(X_train, X_train), batch_size=128, epochs=100, verbose=1, callbacks=[es])

so, why is sequence_autoencoder variabel never used in the next code?

[cerlymarco]

Hi,

because it's a simple autoencoder. we don't use it for prediction and so on. We simply use it to train weights of encoded_ae which is used in the next code cells.

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