rnn-tutorial-rnnlm
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NameError: name 'softmax' is not defined
Hi,
Thank you for the great tutorial. I got stuck here, o[t]= softmax(self.V.dot(s[t])) Inside the forward_propagation function definition NameError: name 'softmax' is not defined
I tried implementing a function called 'softmax'
def softmax(x):
e_x = np.exp(x-np.max(x))
return e_x / e_x.sum()
def softmax(x):
w = np.array(x)
maxes = np.amax(w, axis=0)
e = np.exp(w-maxes)
s = e / np.sum(e, axis=0)
return s
and but it does n't work i get the exception ValueError: could not broadcast input array from shape (8000) into shape (100)
also tried
o[t]= Th.nnet.softmax(self.V.dot(s[t]))
but got the following error ValueError: setting an array element with a sequence.
please somebody help
Use this:
def softmax(z): return np.exp(z)/((np.exp(z)).sum())