Transformer dropout #544
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Transformer dropout #544
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This adds missing dropout operations in 3 places in the self-attention/transformer architecture of example 21, namely after positional encodings, residual connections, and attention matrix (see AIAYN paper). I've confirmed that this improves results when setting these to a conservative value (e.g. 0.1).