I am a newbie of TensorFlow in Go.
There are some doubts during my first traing demo. I just find one optimizer in Go's wrappers.go.
But i learn the demos of python,they has serveral optimizers. Like
GradientDescentOptimizer
AdagradOptimizer
AdagradDAOptimizer
MomentumOptimizer
AdamOptimizer
FtrlOptimizer
RMSPropOptimizer
The similar prefix of func like ResourceApply... GradientDescent Adagrad AdagradDA Momentum Adam Ftrl RMSProp.
And they return a option.I don't know what are their purpose. I cant find the relation of them and optimizer.
And how can i make a train in Go by TensorFlow.
What should I should use like python's tf.Variable in Go?
You can't train a Tensorflow model using Go.
The only thing you can do is load a pre-trained model and use it for the inference.
You can't because the Go implementation lacks the Variable support, therefore it's impossible to train anything at the moment.