Python_NN
machine_learning_complete
| Python_NN | machine_learning_complete | |
|---|---|---|
| 1 | 2 | |
| 0 | 4,514 | |
| - | - | |
| 0.0 | 5.9 | |
| almost 2 years ago | 8 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| GNU General Public License v3.0 only | MIT License |
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Python_NN
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Difficulty in using LSTMs for text generation
About the issue with repeating characters, it is supposed to happen. There are certain loops that repeat. To solve this you must remove the line q1 = np.argmax(p1.cpu(), axis=1)[-1].item() and instead, do sampling based on the softmax probabilities. Check this code where I perform sampling. The vec = vec**(2) is used to decrease randomness you can see how your model works and either keep it or leave it.
machine_learning_complete
What are some alternatives?
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