Exemplo n.º 1
0
def test_srnn_predict():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)

    rnn = SupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], max_iter=10)
    rnn.predict(X)

    rnn = SupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], skip_to_out=True, max_iter=10)
    rnn.predict(X)
Exemplo n.º 2
0
def test_srnn_predict():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    X, = theano_floatx(X)

    rnn = SupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], max_iter=2)
    rnn.predict(X)

    rnn = SupervisedRnn(2, [10], 3, hidden_transfers=['tanh'], max_iter=2)
    rnn.predict(X)
Exemplo n.º 3
0
def test_srnn_predict():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    rnn = SupervisedRnn(2, 10, 3, max_iter=10)
    rnn.predict(X)
Exemplo n.º 4
0
def test_srnn_predict():
    X = np.random.standard_normal((10, 5, 2))
    rnn = SupervisedRnn(2, 10, 3, max_iter=10)
    rnn.predict(X)
Exemplo n.º 5
0
def test_srnn_predict():
    X = np.random.standard_normal((10, 5, 2)).astype(theano.config.floatX)
    rnn = SupervisedRnn(2, 10, 3, max_iter=10)
    rnn.predict(X)