Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
independently. Example: Input: [1.0, 2.0, 3.0, 4.0] Dropout probability: 0.5 (50% chance of dropping a neuron) During training, we randomly generate a mask based on the dropout probability: Mask: [1, 0, 1, 0] (1 means keep, 0 means drop) We apply the mask to the input by multiplying element-wise: