There are many options for optimizer in Tensorflow. Optimizers are the tool to minimise loss between prediction and real value. We have mentioned GradientDescentOptimizer in last few of tutorials, but there are more, such as AdamOptimizer. You can try all the available optimizer in here:https://www.tensorflow.org/versions/r.... Also to know more about when to use which optimizer, please read this: http://cs231n.github.io/neural-networ...