title: Text recognition with tensorfow
body: <p>I'm new to tensorflow and played around with the hand written numbers MNIST set.
  I'd like to do my own project that recognises text instead of numbers but can't find a good tutorial.</p>
  
  <p>Is it the same principle as numbers but instead of 10 layers at the end I have to use 26? Or include upper and lowercase and special characters?
  If so I'd have to first crop the words into each character, right? Or is there a way to recognise entire sentences?</p>
  
  <p>I'd like to train three different fonts, so no handwriting, and don't care about upper or lower case.</p>
  
  <p>Later I'd like to use the trained model on photographs. A printed article for example. Does the model work if I align the image, do I have to retrain for a little bit or train it from the start with the new data?</p>
  
  <p>Where do I start? The <a href="https://keras.io/examples/image_ocr/" rel="nofollow noreferrer">Keras example</a> is overwhelming.</p>