https://becominghuman.ai/inception-of-the-deep-learning-world-b1b6889cbdc1

University of Michigan - Ann Arbor

Auxiliary classifiers are side branches of an inception network take some hidden layers to make a prediction using a few connected layers and Softmax activation to predict the output label.

They help to ensure that the features computed, even at intermediate layers, are not too bad for protecting the output class of a image. In other words, they have some regularizing effect on the inception network and help prevent it from overfitting.

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