keras

https://keras.io/ja/

Here, "x" is the input data tensor (np.ndarray) "model" is an instance of classifier, such as keras.models.Sequential.

• If you want the final class label only:

class = model.predict_class(x)
# The result "class" is a np.ndarray instance containing class label

• If you want probability (softmax) of all the candidate classes:

class_prob = model.predict(x)
# The result "class_preob" is a np.ndarray instance containing probability of each class

{
   "image_data_format": "channels_last",
   "epsilon": 1e-07,
   "floatx": "float32",
   "backend": "tensorflow"
}