**Upside down detector**: Train a model to detect if images are upside down

* Trained on Google Street View.
* Synthetically turn some of images upside down. Create a training and test set.
* Build a neural network using TensorFlow.
* Train it to classify image orientation until a reasonable accuracy is reached.
* Look at some of the images that were classified incorrectly. Please explain what you might do to improve your model's performance on these images in the future.

*The code is taken from: [RotNet](https://github.com/d4nst/RotNet), with minor changes.*
{}
tensorboard region:us
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#tensorboard #region-us 

Upside down detector: Train a model to detect if images are upside down

* Trained on Google Street View.
* Synthetically turn some of images upside down. Create a training and test set.
* Build a neural network using TensorFlow.
* Train it to classify image orientation until a reasonable accuracy is reached.
* Look at some of the images that were classified incorrectly. Please explain what you might do to improve your model's performance on these images in the future.

*The code is taken from: RotNet, with minor changes.*
TAGS
#tensorboard #region-us 

passage: TAGS
#tensorboard #region-us 
