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Say I have a bunch of photos of my cat. Want to be able to use Raspberry PI to recognize my cat from the others. How can I create the dataset to feed to your M
by Aspos 9y ago
Say I have a bunch of photos of my cat. Want to be able to use Raspberry PI to recognize my cat from the others.
How can I create the dataset to feed to your ML engine?
Would love to see end-to-end how-to, seriously.
- c54 9y agoactually, you might try this: https://azure.microsoft.com/en-us/services/cognitive-services/custom-vision-service/ https://azure.microsoft.com/en-us/services/cognitive-service... lets you customize a neural net with a small number of specific images (using a technique called 'transfer learning')
- prats226 9y agoWe also use transfer learning a lot. Using transfer learning is but tricky because sometimes you might upset generalised weights of pretrained network with bad hyperparameters. We had written a blog before for using transfer learning as well https://medium.com/nanonets/nanonets-how-to-use-deep-learning-when-you-have-limited-data-f68c0b512cab https://medium.com/nanonets/nanonets-how-to-use-deep-learnin...
- prats226 9y agoAdded a section in blog to explain end to end usage
- morgosmaci 9y agoAnother great tutorial I have found is the guy who runs an AI on twitch that plays GTA-V. Here is his object detection tutorial playlist. https://www.youtube.com/watch?v=COlbP62-B-U&list=PLQVvvaa0QuDcNK5GeCQnxYnSSaar2tpku https://www.youtube.com/watch?v=COlbP62-B-U&list=PLQVvvaa0Qu...