title: Using Sparse Tensors to feed a placeholder for a softmax layer in TensorFlow
body: <p>Has anyone tried using Sparse Tensors for Text Analysis with TensorFlow with success? Everything is ready and I manage to feed <code>feed_dict</code> in <code>tf.Session</code> for a Softmax layer with numpy arrays, but I am unable to feed the dictionary with SparseTensorValues. </p>
  
  <p>I have not found either documentation about using sparse matrices to train a model ( softmax for example ) with Tensor Flow, which is strange, as classes <code>SparseTensor</code> and <code>SparseTensorValues</code> or <code>TensorFlow.sparse_to_dense</code> methods are ready for it, but there is no documentation about how to feed the <code>feed_dict</code> dictionary of values in the <code>session.run(fetches,feed_dict=None)</code> method. </p>
  
  <p>Thanks a lot,</p>