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This question already has an answer here:

I have developed the following code, but I would like to train a neural network so that it can recognize all the dog breeds, integrating many images in order to have a high probability that the program will recognize the right dog breed. Could you help me? This is my code:

dobermann = {-> "Dobermann", -> "Dobermann", -> "Dobermann", -> 
    "Dobermann", -> "Dobermann"};
rottweiler = {-> "Rottweiler", -> "Rottweiler", -> "Rottweiler", -> 
    "Rottweiler", -> "Rottweiler"};
alano = {-> "Alano", -> "Alano", -> "Alano", -> "Alano", -> "Alano"};
labrador = {-> "Labrador", -> "Labrador", -> "Labrador", -> 
    "Labrador", -> "Labrador" };
husky = {-> "Husky", -> "Husky", -> "Husky", -> "Husky", -> "Husky" };
dogTypeSet = {dobermann, rottweiler, alano, labrador, husky};
class = Classify[
   Flatten[{dobermann, rottweiler, alano, labrador, husky}]];
CloudDeploy[
 FormPage["image" -> "Image", 
  Column[{#image, "This is a " <> ToString[class[#image]]}] &, 
  AppearanceRules -> <|"Title" -> "What dog is that?", 
    "Description" -> 
     "Enter an image of a dog and I'll tell you what it is", 
    "SubmitLabel" -> "Classify"|>, PageTheme -> "Blue"], 
 Permissions -> "Public"]
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marked as duplicate by Niki Estner, m_goldberg, Anjan Kumar, kirma, gwr Jan 15 at 18:24

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