# Accuracy Boosters: Epoch-Driven Mixed-Mantissa Block Floating-Point for DNN Training

We included both image classification and neural machine translation implementations. The instructions for each task are given inside their folders. For Transformer, our implementation is based on fairseq and so far we only implemented Accuracy Boosters for Transformer-Base. Our results can be regenerated by using wmt-en-de.sh script.
