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Update README.md #257

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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -144,7 +144,7 @@ python train_ssd_network.py \
--learning_rate_decay_factor=0.94 \
--batch_size=32
```
Hence, in the former command, the training script randomly initializes the weights belonging to the `checkpoint_exclude_scopes` and load from the checkpoint file `vgg_16.ckpt` the remaining part of the network. Note that we also specify with the `trainable_scopes` parameter to first only train the new SSD components and left the rest of VGG network unchanged. Once the network has converged to a good first result (~0.5 mAP for instance), you can fine-tuned the complete network as following:
Hence, in the former command, the training script randomly initializes the weights belonging to the `checkpoint_exclude_scopes` and load from the checkpoint file `vgg_16.ckpt` the remaining part of the network. Note that we also specify with the `trainable_scopes` parameter to first only train the new SSD components and leave the rest of VGG network unchanged. Once the network has converged to a good first result (~0.5 mAP for instance), you can fine-tuned the complete network as following:
```bash
DATASET_DIR=./tfrecords
TRAIN_DIR=./log_finetune/
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