Training 1,539 parameters beat training 11.2 million, on the same data, in less time. This walkthrough shows exactly how transfer learning achieves that in PyTorch, with both experiments run side by side and every number measured rather than claimed.
Training 1,539 parameters beat training 11.2 million, on the same data, in less time.
This walkthrough shows exactly how transfer learning achieves that in PyTorch, with both experiments run side by side and every number measured rather than claimed.
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Training 1,539 parameters beat training 11.2 million, on the same data, in less time. This walkthrough shows exactly how transfer learning achieves that in PyTorch, with both experiments run side by side and every number measured rather than claimed.
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