mixup_mxnet

This is a unofficial MXNet implementation of mixup method.

Usage

1.simple example to train cifar10

python mixup_scratch.py

2.train cifar10 with multi gpus

usage: mixup_scratch_cmd.py [-h] [--lr LR] [--batch_size BATCH_SIZE]
[--epochs EPOCHS] [--num_classes NUM_CLASSES]
[--use_mixup] [--alpha ALPHA]

mxnet CIFAR10 Training

optional arguments:

--h, --help show this help message and exit
--lr LR learning rate
--batch_size BATCH_SIZE batch size
--epochs EPOCHS train epoches
--num_classes NUM_CLASSES number of classes
--use_mixup whether to use mixup or not
--alpha ALPHA Beta distributed parmas

paper: mixup: BEYOND EMPIRICAL RISK MINIMIZATION

Reference:

• [1] implementation by leehomyc with PyTorch
• [2] MXNet image classification example (particularlly train_cifar10.py)