July 2018
Intermediate to advanced
474 pages
13h 37m
English
The technique for utilizing pre-trained models as the source for testing outcomes on other datasets is referred to as transfer learning. The advantage here is that much of the CPU resources allotted for training images is outsourced to a pre-trained model. Transfer learning has become a common extension of deep learning more recently.
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