Programming, Artificial Intelligence, Machine Learning, Data Science, Python.
Masked input: [1.0 * 1, 2.0 * 0, 3.0 * 1, 4.0 * 0] = [1.0, 0, 3.0, 0] The masked input is then passed through the network. During testing, dropout is not applied, but the output is scaled by the dropout probability to compensate for the missing neurons during training. In transformers, dropout is