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How to get non-binary output from keras/.tfite model?
How to get the current time in PythonHow do I get the number of elements in a list in Python?Keras, output of model predict_probaKeras, how to get predict with model with removed last layerkeras categorical and binary crossentropyKeras predict(..) output interpretationTensorflow lite model is giving wrong outputExporting keras model into tfliteTensorflow: Incompatible shapes for tflite model and output arrayHow can I interpret the output from my .tflite classifier?
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty height:90px;width:728px;box-sizing:border-box;
I have a Keras model, which I then converted into a .tflite model.
The model is a binary classifier using binary_crossentropy.
With keras I can call model.predict() to get a decimal prediction eg 0.96271
or I can call model.predict_classes() which rounds it to the nearest class eg 0 or 1.
The tflite model is just a black box, the input has to be submitted as a ByteBuffer and only a binary output (0 or 1) is returned.
How can I ensure that a decimal value is returned? Are there any changes I can make to my Keras model to ensure a decimal is automatically returned?
python tensorflow keras
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
add a comment |
I have a Keras model, which I then converted into a .tflite model.
The model is a binary classifier using binary_crossentropy.
With keras I can call model.predict() to get a decimal prediction eg 0.96271
or I can call model.predict_classes() which rounds it to the nearest class eg 0 or 1.
The tflite model is just a black box, the input has to be submitted as a ByteBuffer and only a binary output (0 or 1) is returned.
How can I ensure that a decimal value is returned? Are there any changes I can make to my Keras model to ensure a decimal is automatically returned?
python tensorflow keras
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
add a comment |
I have a Keras model, which I then converted into a .tflite model.
The model is a binary classifier using binary_crossentropy.
With keras I can call model.predict() to get a decimal prediction eg 0.96271
or I can call model.predict_classes() which rounds it to the nearest class eg 0 or 1.
The tflite model is just a black box, the input has to be submitted as a ByteBuffer and only a binary output (0 or 1) is returned.
How can I ensure that a decimal value is returned? Are there any changes I can make to my Keras model to ensure a decimal is automatically returned?
python tensorflow keras
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
I have a Keras model, which I then converted into a .tflite model.
The model is a binary classifier using binary_crossentropy.
With keras I can call model.predict() to get a decimal prediction eg 0.96271
or I can call model.predict_classes() which rounds it to the nearest class eg 0 or 1.
The tflite model is just a black box, the input has to be submitted as a ByteBuffer and only a binary output (0 or 1) is returned.
How can I ensure that a decimal value is returned? Are there any changes I can make to my Keras model to ensure a decimal is automatically returned?
python tensorflow keras
python tensorflow keras
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
asked Mar 22 at 0:38
MRDJR97MRDJR97
1762315
1762315
add a comment |
add a comment |
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