title: Not getting Proper Accurcacy for cifar10 dadatset with mobilenetv2 on CPU
body: <p>I have tried to train mobilenetV2 with cifar10 dataset as mentioned in <a href="https://github.com/tensorflow/models/tree/master/research/slim" rel="nofollow noreferrer">https://github.com/tensorflow/models/tree/master/research/slim</a> only change was I did it  on CPU but i ended getting only 63% accuracy but the stated accuracy is 94%</p>
  
  <pre><code>DATASET_DIR=/tmp/cifar10
  TRAIN_DIR=/tmp/train_logs
  python train_image_classifier.py \
  --train_dir=${TRAIN_DIR} \
  --dataset_name=cifar10 \
  --dataset_split_name=train \
  --dataset_dir=${DATASET_DIR} \
  --model_name=mobilenet_v2 \
  --clone_cpu=True
  </code></pre>