Python sigmoid Examples

Example #1

File: lstm.py Project: zzc1996/autograd

 def update_lstm(input, hiddens, cells):
     change  = np.tanh(concat_and_multiply(params['change'], input, hiddens))
     forget  = sigmoid(concat_and_multiply(params['forget'], input, hiddens))
     ingate  = sigmoid(concat_and_multiply(params['ingate'], input, hiddens))
     outgate = sigmoid(concat_and_multiply(params['outgate'], input, hiddens))
     cells   = cells * forget + ingate * change
     hiddens = outgate * np.tanh(cells)
     return hiddens, cells

Example #2

File: lstm.py Project: AugustLONG/autograd

 def update_lstm(input, hiddens, cells):
     change  = np.tanh(concat_and_multiply(params['change'], input, hiddens))
     forget  = sigmoid(concat_and_multiply(params['forget'], input, hiddens))
     ingate  = sigmoid(concat_and_multiply(params['ingate'], input, hiddens))
     outgate = sigmoid(concat_and_multiply(params['outgate'], input, hiddens))
     cells   = cells * forget + ingate * change
     hiddens = outgate * np.tanh(cells)
     return hiddens, cells

Example #3

File: policyDKF.py Project: mzhuang1/opfmbrl

 def update_gru(input, hiddens):
     update = sigmoid(
         concat_and_multiply(params['transion']['update'], input, hiddens))
     reset = sigmoid(
         concat_and_multiply(params['transion']['reset'], input, hiddens))
     hiddens = (1 - update) * hiddens + update * sigmoid(
         concat_and_multiply(params['transion']['hiddenOut'], input,
                             hiddens * reset))
     return hiddens

Example #4

def test_sigmoid():
    assert rnn.sigmoid(0) == 0.5
    assert rnn.sigmoid(100) == 1.0
    assert rnn.sigmoid(-100) < 0.001
    assert rnn.sigmoid(-100) >= 0