An example of an image classification problem is to identify a photograph of an animal as a "dog" or "cat" or "monkey." The two most common approaches for image classification are to use a standard ...

It is possible to create an MNIST image classification model by feeding the model one-dimensional vectors of 784 values. However, this approach isn't feasible for large images with millions of pixels, ...

In addition to the TensorFlow-based Inception V3 image classification model, Google mentioned the release of the Inception-ResNet-v2 model, but did not provide any benchmarks around its performance.