Can I train the SAME neural network with multiple datasets using Neural Fitting Tool?
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After training the network for the first time I get the option of either retraining it with the same data set, or by pressing NEXT just to test it over a new one. If I go back and add a new data set it seems that the former network is lost and training begins from scratch.
2 个评论
Aquatris
2018-7-17
You can combine all the data sets you want to use to train your NN into a single dataset simply by cascading them.
For instance, you have data set 1 with input u1 and output y1, and data set 2 with u2 and y2. than you create a new data set by simply defining u = [u1;u2] and y = [y1;y2].
Georgios Etsias
2018-7-18
回答（1 个）
Greg Heath
2018-7-17
In order to not forget a learned dataset while learning a new one:
Continue training with a mixture (NOT a concatenation!) of the
two. The training ratio should be approximately the same as the
expected ratio in the implementation space.
Hope this helps.
Thank you for formally accepting my answer
Greg
3 个评论
Ardiansyah Fauzi
2019-3-1
I have the same problem and I would like to mixture my training dataset. However, I am quite new in this field, do you have any recommendation method for this?
Thank you.
Greg Heath
2019-3-1
See my answer before your comment.
Any specific questions?
Greg
Emily LaPrime
2021-4-1
Greg,
Could you elaborate on creating a mixture of the two data sets? I am trying to train a network to classify using 4 sets of training data. I need the network to learn each set of data so that when I use the testing data the output is classified using the results of the data used to train.
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2018-7-17
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