RNN implement ： recurrent neural network simulation by Python ：training with SGD

rnnsim\rnnsim\about_nn.m
......\......\about_nn.mat
......\......\calc_inv.m
......\......\calc_mse.m
......\......\calc_output.m
......\......\calc_rate.m
......\......\demo_nn.m
......\......\demo_nn.mat
......\......\drawrnn3.m
......\......\draw_nn.m
......\......\draw_nn.mat
......\......\enter_nn.m
......\......\excute.m
......\......\helpinfo.m
......\......\help_nn.m
......\......\help_nn.mat
......\......\help_nn_excute.m
......\......\plot_error.m
......\......\plot_error.mat
......\......\prep_trn.m
......\......\prep_tst.m
......\......\prep_wts.m
......\......\prob1_net.m
......\......\prob1_trn.m
......\......\prob1_tst.m
......\......\quit_nn.m
......\......\quit_nn.mat
......\......\readme.txt
......\......\rnn3.m
......\......\rnn3.mat
......\......\rnn3_gui.m
......\......\rnn3_gui.mat
......\......\rnnsim.m
......\......\test_rnn3.m
......\......\train_rnn3.m
......\......\tutor_nn.m
......\......\tutor_nn.mat
......\......\tutor_nn_excute.m
......\......\update_wts.m
......\rnnsim
rnnsim

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