
  mmoommeennttuumm -- ttrraaiinnss tthhee nneettwwoorrkk uussiinngg mmoommeennttuumm ddeesscceenntt

  UUSSAAGGEE

        momentum [<num-updates>] [-report <report-interval> | -setOnly]

  DDEESSCCRRIIPPTTIIOONN

  This is a shortcut for training the network using momentum descent. The
  arguments are similar to those for _t_r_a_i_n. The momentum term is taken from
  the network's momentum parameter.

  Momentum descent incorporates a percentage (determined by the network's
  momentum parameter) of the previous step in each weight change. This can
  cause the effective learning rate to grow as high as 1 / (1 - momentum).

  If the -setOnly flag is used, no training will occur. However, the
  network's numUpdates, reportInterval, and default algorithm will be set.
  This can be used to set the default training behavior in an initialization
  script prior to actually training.

  EEXXAAMMPPLLEESS

  To train for 1000 epochs, printing reports every 100:

        lens> momentum 1000 -r 100

  SSEEEE AALLSSOO

  _t_r_a_i_n, _s_t_e_e_p_e_s_t, _d_o_u_g_s_M_o_m_e_n_t_u_m, _d_e_l_t_a_B_a_r_D_e_l_t_a

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    Last modified: Fri Nov 17 12:36:39 EST 2000

