how to know which node is dropped after using keras dropout layer

Question

From nick blog it is clear that in dropout layer of CNN model we drop some nodes on the basis of bernoulli. But how to verify it, i.e. how to check which node is not selected. I

Answer 1

Concerning your second question, if you see Keras code, in the call method form Dropout class:

def call(self, inputs, training=None):
    if 0. < self.rate < 1.:
        noise_shape = self._get_noise_shape(inputs)

        def dropped_inputs():
            return K.dropout(inputs, self.rate, noise_shape,
                             seed=self.seed)
        return K.in_train_phase(dropped_inputs, inputs,
                                training=training)
    return inputs

This means that if the rate is not between 0 and 1, it will do nothing.