Training large neural networks can take days or weeks. Once these networks are trained, we can use their weights and apply them to new tasks, i.e., transfer learning. As a result, we can fine-tune a new network and get good results in a short period. Let’s look at how we can fine-tune a pretrained ResNet network in JAX and Flax.

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Transfer learning
Transfer learning

Prior to using transfer learning and fine-tuning the ResNet model, it's important to process the data, which was covered previously.

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