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Image Classification with Transfer Learning and PyTorch

Image Classification with Transfer Learning and PyTorch

Transfer learning is a powerful technique for training deep neural networks that allows one to take the knowledge learned about one deep learning problem and apply it to a different, yet similar learning problem.

Using transfer learning can dramatically speed up the rate of deployment for an app you are designing, making both the training and implementation of your deep neural network simpler and easier.

View this article on https://stackabuse.com/.

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