本文整理汇总了Python中cle.cle.layers.feedforward.FullyConnectedLayer.reshape方法的典型用法代码示例。如果您正苦于以下问题：Python FullyConnectedLayer.reshape方法的具体用法？Python FullyConnectedLayer.reshape怎么用？Python FullyConnectedLayer.reshape使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类cle.cle.layers.feedforward.FullyConnectedLayer的用法示例。
在下文中一共展示了FullyConnectedLayer.reshape方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: concatenate
# 需要导入模块: from cle.cle.layers.feedforward import FullyConnectedLayer [as 别名]
# 或者: from cle.cle.layers.feedforward.FullyConnectedLayer import reshape [as 别名]
k.default_update = v
shared_updates[rnn_tm1] = s_temp[-1]
s_temp = concatenate([s_0[None, :, :], s_temp[:-1]], axis=0)
theta_1_temp = theta_1.fprop([s_temp], params)
theta_2_temp = theta_2.fprop([theta_1_temp], params)
theta_3_temp = theta_3.fprop([theta_2_temp], params)
theta_4_temp = theta_4.fprop([theta_3_temp], params)
theta_mu_temp = theta_mu.fprop([theta_4_temp], params)
theta_sig_temp = theta_sig.fprop([theta_4_temp], params)
coeff_temp = coeff.fprop([theta_4_temp])
x_in = x.reshape((x.shape[0]*x.shape[1], -1))
theta_mu_in = theta_mu_temp.reshape((x.shape[0]*x.shape[1], -1))
theta_sig_in = theta_sig_temp.reshape((x.shape[0]*x.shape[1], -1))
coeff_in = coeff.reshape((x.shape[0]*x.shape[1], -1))
recon = GMM(x_temp, theta_mu_temp, theta_sig_temp, coeff_temp)
#recon = GMM(x_in, theta_mu_in, theta_sig_in, coeff_in)
recon = recon.reshape((x_shape[0], x_shape[1]))
recon_term = recon.mean()
recon_term.name = 'nll'
m_s_0 = rnn.get_init_state(m_batch_size)
(m_s_temp, m_updates) = theano.scan(fn=inner_fn,
sequences=[x_4_temp],
outputs_info=[m_s_0])
for k, v in m_updates.iteritems():
k.default_update = v