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This is a sample project demonstrating the use of Keras (Tensorflow) for the training of a MNIST model for handwriting recognition using CoreML on iOS 11 for inference.

Objective-C 17.45% Jupyter Notebook 82.13% Dockerfile 0.42%
coreml ios ios11 keras mnist objective-c tensorflow

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mnist_draw's Issues

How to change output type of Core ML Model (Keras)

Hi Nice tutorial ! I also implemented same few days back and manage to add input to model as CVPixelBuffer. I have one question.. How can I make the output of ml model as number which it predicts and with probability instead of type MultiArray<Double,10>(Like flower example in WWDC). Should we have to create a custom keras layer class or use lambda layer?. I had search enough but couldnt find anything.

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