Training the Autoencoder

Let us fit the autoencoder model to the train data.

INSTRUCTIONS

Import time module.
```
import  << your code comes here >>
```
Use start = time.time() to record the start time of training execution.
```
start = time.time()
```

Use fit on stacked_ae to train on X_train, X_train for 20 epochs and validation_data=(X_valid, X_valid).

history = stacked_ae.<< your code comes here >>(X_train, X_train, epochs=20,
                 validation_data=(X_valid, X_valid))

Use end = time.time() to record the end time of training execution.
```
end = time.time()
```

Print the time of execution:

print("Time of execution:", round(end-start,2),"seconds")

See Answer

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