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Proper way to detect sentiments?
Hello, I'm trying to create a more complicated version of the Sentiment detector, using this example here: https://scrimba.com/p/pVZJQfg/c3n6qfg
However, I'm getting odd results. It seems to work well when there is very little data. But once I put a lot of data, it returns results like "T T T T T T T T T T T T" or some odd words created by mixing input and output.
What can I do to ensure the integrity of the outputs when I have a lot of data?
- Can you show your code & network configuration?
- How many inputs?
- How many training iterations?