TensorFlow – Consise Examples for Beginners
I find it so aggravating that nearly every last ML framework documents their CNN libraries in terms of canned MNIST datasets imported from the library in a preprocessed form.<p>It's always left as a useless exercise for the reader to divine how to generate such a dataset from his/her own data.<p>Examples should be way more general. The starting point shouldn't be:<p><pre><code>  from tensorflow.examples.tutorials.mnist import input_data
  mnist = input_data.read_data_sets("/tmp/data/", one_hot=True)
</code></pre>
, it should start with "here is a directory of images and their classes" and end with a CNN model.<p>EDIT: Should anyone have any insight as to where I might get such a tutorial (or have the desire to write one), I know a herd of ML pre-initiates that would be grateful.