This pamphlet is based on recommendations from the 2006 release of Nutrient Requirements of Dogs and Cats. The report contains useful information for companion animal nutritionists, veterinarians, scientists in industry and academe, regulators, pet owners and anyone with an interest in the health and welfare of these important animals.
An end-to-end example: fine-tuning an image classification model on a cats vs. dogs dataset. To solidify these concepts, let's walk you through a concrete end-to-end transfer learning & fine-tuning example. We will load the Xception model, pre-trained on ImageNet, and use it on the Kaggle "cats vs. dogs" classification dataset. Getting the data