Multiple Output Model In Tensorflow2.0 | The Functional API

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Multiple Output Model In Tensorflow2.0 | The Functional API

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This video explain how to build the multi-output model using the functional API in tensorflow 2.0 . The model takes six different features and generates the two outputs.

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#pathshala #DLPathshala #MultiOutputModel #FunctioanlAPI #Keras #Tensorflow2

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hello author,

i want to train a model to predict heatmap (mean square error loss) and binary segmentation (binary cross entropy loss).
i tried to train model using multi branch (2 branch duplicates for 2 output). but the the final output will favour for only one type of output.
For example when i train using model.fit with equal loss weights, the output is good for heatmap, but binary mask output is wrong and gives pixels 1 for the regions similar to heatmaps.
And when i train using gradtape loop, the output is good for segmentation mask, but heatmaps are wrong and looks like masks.

how can i solve this, please give me your suggestion.

thank you

rs

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