  We report generation of a MNIST [4] compatible data set [1] for Tamil vowels
to enable building a classification DNN or other such ML/AI deep learning [2]
models for Tamil OCR/Handwriting applications. We report the capability of the
60,000 grayscale, 28x28 pixel dataset to build a 92% accuracy (training) and
82% cross-validation 4-layer CNN, with 100,000+ parameters, in TensorFlow. We
also report a top-1 classification accuracy of 70% and top-2 classification
accuracy of 92% on handwritten vowels showing, for the same network.
