[ ] Generalize client TF for any numbers of parameters (weights and biases) [get_collections in python] #29
[x] 1 layer NN #32
[ ] 2 layer NN, ReLu activations
[x] Adam optimizer
@3ygun in #32 had a model running with the Adam optimizer. But wasn't seeing improved results as implementation bug? E.G. weight accuracy wasn't going >13% (See #33 for the issue) @3ygun didn't have a proper server config and that resulted in the <20% accuracy 🤕
[ ] Reinit user on parameter update, regardless of state
Refractoring
[x] See the david-tensorflow branch for #27 & the tensorflow branch changes. Will merge into tensorflow when it works. Current problems: (All fixed in #32)
TensorFlow
@3ygun in #32 had a model running with the Adam optimizer. But wasn't seeing improved results as implementation bug? E.G. weight accuracy wasn't going >13% (See #33 for the issue)@3ygun didn't have a proper server config and that resulted in the <20% accuracy 🤕Refractoring
david-tensorflowbranch for #27 & thetensorflowbranch changes. Will merge intotensorflowwhen it works. Current problems: (All fixed in #32)