preidctions -> predictions
fine-tine -> fine-tune
^some -> some
differnt -> different
assosciated -> associated
populuation -> population
outisde -> outside
Understanding this performance vs. speed vs. size tradeoff will come with time and practice. -> Understanding this performance vs. speed vs. size tradeoff will come with time and practice.
Transfer learning often allows to you get good results with a relatively small amount of custom data. -> Transfer learning often allows you to get good results with a relatively small amount of custom data.
What changes to our code would need to made to use the new API? -> What changes to our code would need to be made to use the new API?
06: pytorch transfer learning https://www.learnpytorch.io/06_pytorch_transfer_learning/
preidctions -> predictions fine-tine -> fine-tune ^some -> some differnt -> different assosciated -> associated populuation -> population outisde -> outside
Understanding this performance vs. speed vs. size tradeoff will come with time and practice. -> Understanding this performance vs. speed vs. size tradeoff will come with time and practice.
Transfer learning often allows to you get good results with a relatively small amount of custom data. -> Transfer learning often allows you to get good results with a relatively small amount of custom data.
What changes to our code would need to made to use the new API? -> What changes to our code would need to be made to use the new API?