python – How to use a trained Keras based neural network model feeding one image as input?

Question:

In general, there is a neural network written and trained using the Keras library. Let's say this is classic handwritten digit recognition using the MNIST dataset. Neural network weights and architecture can be saved for reuse by standard library functions. A question arose that all documentation and tutorials bypassed for some reason. How to apply neur. network ONE photo, for example, jpg with the number 3 and get the prediction of the neural network, what is most likely the number three?

Answer:

in the examples we see the following:

out = model.predict(x) 
print(np.argmax(out))

if there is only one element in x , then the prediction will be for a single value. that's all.

Scroll to Top