readme: **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.*