Can I feed a neural network with a "predefined" set of training images at every iteration ?

2 次查看（过去 30 天）

M J 2020-9-24

0
链接

此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/599461-can-i-feed-a-neural-network-with-a-predefined-set-of-training-images-at-every-iteration

评论： Srivardhan Gadila 2020-10-27

Hi everyone,

I am working with a convolutional neural network (GoogLeNet) but instead of using classic "full" images, I am working with patches cropped out of the images. In other words, each class contains several images (which are actually subfolders), and each image contains several patches (the png files).

I wrote a simple function that reads n random patches (png files) belonging to m random images at every run, and was wondering how to implement it in the training process. I basically want to use those n randomly generated training png files (minibatch) at every iteration. Should this be done within the "trainNetwork" function?

Is there any question/example that deals with this topic?

Thank you very much.

Best regards

4 个评论
显示 2更早的评论隐藏 2更早的评论

Sindar 2020-9-25

I'm sorry, I'm not sure - my familiarity with the problem is shallow. My first thought would be that you want a single training set for every iteration, so you should create the image datastore once and stick with it. (Perhaps increase n? or run multiple times to gather a larger training set)

M J 2020-9-25

编辑：M J 2020-9-25

Yes. For example, assuming I have 100 iterations per epoch, I would like to repeatedly generate 100 random training subsets (based on my set of rules, as mentioned above), each of which would be fed to the network at every iteration.

请先登录，再进行评论。

请先登录，再回答此问题。

采纳的回答

Srivardhan Gadila 2020-9-28

0
链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/599461-can-i-feed-a-neural-network-with-a-predefined-set-of-training-images-at-every-iteration#answer_501943

Based on the above information in question & comments I think using the custom training loop would be a good Idea. You can refer to Train Network Using Custom Training Loop & Deep Learning Custom Training Loops for more information.