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Note that the Dropout layer only applies when training is set to True such that no values are dropped during inference. When using model.fit, training will be appropriately set to Trueautomatically, and in other contexts, you can set the flag explicitly to True when calling the layer.
Artificial Neural Network implementation
We can now start to define the first architecture. The most simple approach is using fully connected layers (Dense layers in Keras/Tensorflow), with seluactivation function and a sigmoid final layer, since we are affording a binary classification problem.
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