Cost as a parameter to train and test

avx_docs
Yi Wang 8 years ago
parent 08c0051f95
commit e60fe1df22

@ -10,13 +10,13 @@ Model = {topology, parameters}
Evaluator = {Model*, activations}
- forward
- test
- test(cost, ...)
GradientMachine = {Evaluator*, gradients}
- backward
Optimizer = {Model*, GradientMachine*}
- train
- train(cost, ...)
- update
- checkpoint
```

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