Deep Learning with Keras
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Increasing the number of internal hidden neurons

We can make yet another attempt, that is, changing the number of internal hidden neurons. We report the results of the experiments with an increasing number of hidden neurons. We can see in the following graph that by increasing the complexity of the model, the run time increases significantly because there are more and more parameters to optimize. However, the gains that we are getting by increasing the size of the network decrease more and more as the network grows:

In the following graph, we show the time needed for each iteration as the number of hidden neurons grow:

The following graph shows the accuracy as the number of hidden neurons grow: