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Transfer learning is how humans use knowledge of one thing to help understand something else, for example to humans a umbrella can be used to stop rain hitting you, but it also can be used to keep the sun of you. Getting a AI to put these connections together is one of the steps towards general Intelligence, and that's where transfer learning comes in.
Transfer learning looks at the weights, biases or artitecture of the deep learning model and saves them to them transfer to another model,
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Keep reading, keep studying, the more you learn the more you change. If you are doing the Python lessons please join this discord channel https://discord.gg/kugXx9KY but please follow the rules
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