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github.com/lazyprogrammer/machine_learning_examples
/ derivative_c
Function
derivative_c
ann_class/regression.py:67–68 ·
view source on GitHub ↗
(Y, Yhat)
Source
from the content-addressed store, hash-verified
65
return
(Y - Yhat).dot(Z)
66
67
def
derivative_c(Y, Yhat):
68
return
(Y - Yhat).sum()
69
70
def
derivative_W(X, Z, Y, Yhat, V):
71
# dZ = np.outer(Y - Yhat, V) * (1 - Z * Z) # this is for tanh activation
Callers
1
update
Function · 0.85
Calls
no outgoing calls
Tested by
no test coverage detected