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fixes a few small typos #44

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fixes a few small typos #44

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4 changes: 2 additions & 2 deletions tensorflow-planespotting/README.md
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Expand Up @@ -29,7 +29,7 @@ needed to provide detection capabilities. They can be found in file

A script is provided for running the training on AI Platform. It implements
auto-incrementing job names so that successive trainings are called job001, job002 and so on.
Apart from that, it is contains little more that the `gcloud ml-engine jobs submit training`.
Apart from that, it contains little more than the `gcloud ml-engine jobs submit training`.
The script is [cloudrun_yolo.bash](cloudrun_yolo.bash). By default, it trains a
17 layer squeezenet/YOLO detection model. To start training, fill out the prerequisites and run the script.

Expand Down Expand Up @@ -95,7 +95,7 @@ own bucket for output data:
in TFRecord format. The following command line parameter switches between the two
modes. Adjust it in the [cloudrun_yolo.bash](cloudrun_yolo.bash) file:
```bash
# To train train from large aerial photographs use:
# To train from large aerial photographs use:
--data gs://planespotting-data-public/USGS_public_domain_photos
# Alternatively, to train from 256x256 tiles in TFRecord format use:
--tiledata gs://planespotting-data-public/tiles_from_USGS_photos
Expand Down