I run through the Quickstart tutorial of the tf.contrib.learn, which uses the Iris data set. After training the DNN model I get an accuracy of ~0.967.
In an attempt to improve the accuracy, I tried to change the number and size of the hidden layers, I doubled the steps, and I changed optimizer and learning rates. However, the accuracy does not increase (or decrease).
Could that might be a dataset limitation?
Any ideas on how to improve the performance? I want to be able to dive into a NN and try to optimize it, before I go blindly into another tutorial.