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You can use the metagraph files for the pre-trained models and comment out the line(s) where the pre-trained weights are loaded. For example, in train_tf.py you would comment out line 83: saver.restore(sess, os.path.join(args.weightspath, args.ckptname)).
Hello,
I want to train you network from scratch and not from the pre-trained "Small" and "Large" models.
Could you please describe how to do that since I want to compare the effects of data augmentation vs dropout vs no augmentation & no dropout?
Thank you!
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