Machine Learning, Artificial Intelligence, Neural Networks, Data Science, Towards Data Science.
anything at test time, which makes inference faster. Due to this faster inference, most current implementations use inverted dropout: Weighting is performed during training. Does not require re-weighting at test time. In particular, for layer l, Inverted dropout — weights are scaled at training