Hi, I am just starting up on deep learning. I want to start working on the CIFAR dataset. I believe we have to enable data augmentation while training. I was just wondering, by enabling data augmentation, how many total images does the network “see” before it can classify well enough.
Thanks.
Hi there,
First off, congrats on starting off!
With regards to your question, I would recommend trying and seeing! You can monitor the performance during training by looking at withheld validation data. This should be able to inform you.
I can’t really answer how many images it needs to see before it works – it will depend on network architecture, learning rate and so on.
You should give it a try and see what you get!
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