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MY MODEL
summary: I am trying to train a model with 1 text input and text 1 output, specifically, the input is a product review and the output specifies if it is "good" or "bad." I have tried LSTM and GRU
problem: it is not training properly. I keep getting 'the' repeated over and over when I run my trained network. So what makes a good Neural network? Here are some questions I have
- How do we know how many hidden layers to use?
- Is a low learning rate and error threshold better?
Thanks
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What network are you using, and what type of training data are you using?
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