Is it possible to train numeric data using transfer learning?
4 次查看(过去 30 天)
显示 更早的评论
I did research on learning large amounts of numeric data with RNN (LSTM).
The results were pretty accurate.
However, recently, I would like to compare result CNN and transfer learning.
I have studied many matlab examples documents and search on google.
However, I couldn't find an example of learning 'double(numeric)' data. Everything is for images.
So my question is, is it possible learn double data using transfer learning? If so, can you give me an example or material I can refer to?
I really sorry for the worst English skills.
Thank you.
0 个评论
采纳的回答
Walter Roberson
2020-9-20
Yes, it is possible to use transfer learning for non-image data.
For example https://becominghuman.ai/unsupervised-pre-training-for-speech-recognition-wav2vec-aba643824324?gi=f24550e74b12 specifically says that it can be done, and has a link to python code for the purpose.
The concepts are the same as for image recognition; the problem is finding a pre-trained network that can be usefully adapted for your purposes.
更多回答(0 个)
另请参阅
类别
在 Help Center 和 File Exchange 中查找有关 Image Data Workflows 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!