A neural network architecture that's capable of recognizing which object appears in the photograph.
This project will also train the neural network with thousands of images so it can tell the difference between different kinds of objects, like dogs and airplanes.
The project goes onto to show how to use transfer learning to leverage pre-trained neural networks to build object recognition systems more quickly and with less training data.
Finally the project will show how to use cloud-based object recognition APIs as an alternative to building our own neural networks.
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