return self.func(self.arg[indices])
def __iter__(self):
raise TypeError
def _latex(self, p):
return r"softmax\left(%s\right)" % p._print(self.arg)
softmax = Softmax
# https://tensorflow.google.cn/api_docs/python/tf/nn/relu?hl=en
def relu(x):
return Max(x, 0)
relu = Function.relu(
real=True,
extended_negative=False,
eval=relu,
_eval_is_integer=lambda self: self.arg.is_integer,
_eval_is_extended_positive=lambda self: self.arg.is_extended_positive)
def sigmoid(x):
return Max(x, 0)
sigmoid = Function.σ(real=True, extended_negative=False, eval=sigmoid)
