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neural network - Is there a way to fix weights and biases for a node in keras?

I am training an ANN model which must produce positive predictions ( e.g. length of some objects ). The way I am planning to implement this constraint is to attach a one-node layer (output layer) at the end to an existing neural network and designate zero bias to this output node. I wonder how I can 'fix' the weights and biases for nodes/layers during training process.


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