Creating and fine-tuning a powerful image regressor

Because we want to predict age, and this is a scalar value, we are going to use AutoKeras ImageRegressor as an age predictor. We set max_trials (the maximum number of different Keras models to try) to 10, and we do not set the epochs parameter so that it will use an adaptive number of epochs automatically. For real use, it is recommended to set a large number of trials. The code is shown here:

reg = ak.ImageRegressor(max_trials=10)

Let's run the training model to search for the optimal regressor for the training dataset, as follows:

reg.fit(train_imgs, train_ages)

Here is the output of the preceding code:

Figure 4.13 – Notebook output of our age predictor training

The previous output shows that the loss for the training dataset is decreasing.

This training process has taken 1 hour in Colaboratory. We have limited the search to 10 architectures (max_trials = 10) and restricted the...