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Thanks for this interesting project, @simonsuthers . As your experiments show, the models all perform not good in this task with around 50% accuracy? How is the next step you think now.
The text was updated successfully, but these errors were encountered:
Thanks for getting in touch. The github project on deep clustering is still work in progress. I have quite a bit of code that I haven't committed yet. The experiments I initially did were with a reduced dataset. I have found that by adding more data I eventually got the deep clustering to converge to start giving me decent results. However, there seems to be an optimum amount of data threshold that I haven't figured out yet, as giving the model too much data means the network fails to converge again. Also, I have found the model extremely unstable. Only about 1/4 of the time does the model converge to a sensible solution. My theory is that the initialization of the weights in the RNN layers matters, but I have no test for this at the moment.
I am looking to publish a more updated write up in the next few weeks explaining more on what I was thinking.
Thanks for this interesting project, @simonsuthers . As your experiments show, the models all perform not good in this task with around 50% accuracy? How is the next step you think now.
The text was updated successfully, but these errors were encountered: