2
votes
Training a CNN in production on new data
This is a GOOD question. Say you have taken a pre-trained CNN model and then fine-tuned it on your data. The model is productionized and works well for a few weeks but now you observe a drift. The ...
- 733
1
vote
Why is resizing images is important when applying CNN or deep learning models?
Very abstractly, if you have "enough" information in the [channels, 244, 244] image, you should be able to train on it. If your images are large, ...
- 111
1
vote
Why is training and validation loss steadily rising (eventually to NaN) in this CNN of mine?
There is a mismatch between your pairing of network output and loss function that likely leads to the training divergence.
Your model returns the output of a linear layer, which typically represents ...
- 121
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