Keras retrieve value of node before activation function

Question

Imagine a fully-connected neural network with its last two layers of the following structure:

[Dense]
    units = 612
    activation = softplus

[Dense]
    unit         


        

Answer 1

So this is for fellow googlers, the working of the keras API has changed significantly since the accepted answer was posted. The working code for extracting a layer's output before activation (for tensorflow backend) is:

model = Your_Keras_Model()
the_tensor_you_need = model.output.op.inputs[0] #<- this is indexable, if there are multiple inputs to this node then you can find it with indexing.

In my case, the final layer was a dense layer with activation softmax, so the tensor output I needed was .