Open KatJHuang opened 6 years ago
Personally I prefer the cloud one, not only because tensorflow with cloud can be much powerful than local, but also we can collect data from user as well. We can also update our model with new data to improve our precision of the result.
Algorithm:One training model for text based data and one training model for audio-based data. These two models will taking the input from same source(Of course one will be transferred into text first, the other will be raw audio data)We will have a neural network at the end to do the decision.
To do: 1.Find proper dataset 2.Decide type of model for each training model
Deployment: Two way, need to decide: