ValueError: Error when checking target: expected denseclassify to have 3 dimensions, but got array w
ValueError: Error when checking target: expected denseclassify to have 3 dimensions, but got array with shape (8, 5)。 使用keras搭建bilstm+selfattention的模型，進行多文本分類 發現出現ValueError的錯誤，但檢查發現denseclassify層的輸入根
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相關文章
- 1. ValueError Expected 2D array got 1D array instead
- 2. LSTM input must have 3 dimensions, got 2
- 3. ValueError: not enough values to unpack (expected 2, got 0)
- 4. Celery ValueError: not enough values to unpack (expected 3, got 0)的解決方案
- 5. ValueError: Expected 2D array, got 1D array instead 問題解決
- 6. 成功解決ValueError: Expected 2D array, got 1D array instead
- 7. AAPT: error: expected color reference but got (raw string) null.
- 8. （Androidx）error: expected reference but got (raw string) @+android:style/Anima
- 9. expected type torch.FloatTensor but got torch.cuda.FloatTensor
- 10. HOW TO FIX "EXPECTED BEGIN_ARRAY BUT WAS BEGIN_OBJECT" IN RETROFIT ?