def actFctDerFromOutput(x):
"""
Derivate of the activation function
WARNING: In this version, we take as input an output value
after the activation function (x = tanh(output of the tensor)).
This works because the derivate of tanh is function of tanh
"""
return 1.0 - x**2
#def actFctDer(x):
#"""
#Derivate of the activation function
#"""
#return 1.0 - np.tanh(x)**2
# Other utils functions
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