# TensorFlow - [ ] Training w/ variable learning rates - [ ] Send bias as well as weights - [ ] 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) - [x] Believe my server configuration is incorrect - [x] Is the trainer correctly cycled between?
TensorFlow
@3ygun in Android TensorFlow (with wifi & refractoring changes) #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 NOT A BUG : Problem with the server config file #33 for the issue)@3ygun didn't have a proper server config and that resulted in the <20% accuracy 🤕Refractoring
david-tensorflowbranch for Refractor BackgroundDataSend #27 & thetensorflowbranch changes. Will merge intotensorflowwhen it works. Current problems: (All fixed in Android TensorFlow (with wifi & refractoring changes) #32)