Comments (3)
igormq
commented on August 20, 2024
Hi @LinJM, yes you can calculate the accuracy for each batch data, but not using the default accuracy metric. For this kind of problem we use the edit distance, that is being calculating. :)
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igormq
commented on August 20, 2024
Closed #3
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dscha09
commented on August 20, 2024
@igormq I almost always get 100% accuracy for each batch data
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Related Issues (20)
- This project is not suitable for Tensorflow newst versions, like 0.12.1 and 1.0.0 HOT 1
- Save and restore problem HOT 4
- Normalization for multiple WAV inputs HOT 5
- Multiple Data HOT 2
- Multilayer problem HOT 5
- Saw a non-null label issue HOT 1
- urle error HOT 3
- [No issue] Thanks for this great work, it really helped in my work HOT 1
- when I run ctc_greedy_decoder function,how can I get the align information from all frames probability . HOT 1
- OCR: clarification about input and output HOT 3
- multi layer LSTM gives error HOT 1
- num_features HOT 1
- Input to sparse_tuple_from?
- BLSTM
- other way for increasing Batch size
- all possible alignments
- how to modify the connectionist Temporal Classification (CTC) layer of the network to also give us a confidence score?
- sth. about spare_tuple_from? HOT 1
- Regarding the output nodes of the model
- Bidirectional LSTM
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