GitHub - baidu-research/warp-ctc: Fast parallel CTC.

Connectionist Temporal Classification is a loss function useful for performing supervised learning on sequence data, without needing an alignment between input data and labels. For example, CTC can be used to train end-to-end systems for speech recognition, which is how we have been using it at Baidu's Silicon Valley AI Lab. The illustration above shows CTC computing the probability of an output s

[yingfeng]

Connectionist Temporal Classification, From Andrew NG for speech recognition

[moongift]

百度製のディープラーニング