MLWIC2
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Initialising with pre-trained weights (transfer learning)
Hi @mikeyEcology,
With reference to training our own model, I would like to ask if it is possible to use transfer learning and initialise the model using pre-trained weights (e.g. from a model trained with ImageNet), rather than training from randomly initialised weights. I have tried doing this using retrain_from
, but since the number of outputs are different, it does not work. Also wondering if the argument transfer_mode
has anything to do with this.
Thank you.
Best regards, Joejyn