Computer Vision MT25, Dropout

Created: October 27, 2025 | Updated: October 27, 2025 | About these notes | View in context | Study these flashcards

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• [[Course - Computer Vision MT25]]^U
  • [[Notes - Machine Learning MT23, Neural networks]]^U
  • [[Notes - Computer Vision MT25, Convolutional neural networks]]^U

Flashcards

@Define the method of dropout and @state why it is useful.

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Randomly “dropping out” neurons of a layer at each iterations of training with some probability, excluding the final layer.

It is useful because it it means neurons learn not to rely on the presence of other neurons.

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