API for davharris/mistnet2
Neural Networks with Latent Random Variables

Global functions
ENO Man page Source code
IU Man page Source code
activator Man page
adjustable Man page Source code
all_error_grads Source code
backprop Man page Source code
backprop.mistnet_network Man page Source code
build_par_list Source code
dENO Man page Source code
dIU Man page Source code
deflate Source code
distribution Man page
draw_samples Man page Source code
draw_samples.distribution Man page Source code
elu_activator Man page
emp_apply Source code
exp_activator Man page
feedforward Man page Source code
feedforward.network Man page Source code
feedforward_with_samples Source code
get_adjustables Source code
get_dldx Source code
get_values Man page Source code
grad Man page Source code
identity_activator Man page
ifelse_matrix Source code
ifelse_matrix_cpp Source code
inflate Man page Source code
inflate.default Man page
inflate.inflatable Man page Source code
initialize_weights Source code
initialize_weights_glorot_normal Source code
layer Man page Source code
log_prob Man page Source code
log_prob.distribution Man page Source code
log_prob.mistnet_network Man page Source code
make_bias_list Source code
make_distribution Man page Source code
make_inflatable Man page Source code
make_weight_list Source code
mistnet Man page Source code
mistnet2 Man page
mistnet2-package Man page
mistnet_fit Man page Source code
mistnet_fit_optimx Man page Source code
predict.mistnet_network Man page Source code
predict.network Man page Source code
print.mistnet_network Source code
rENO Man page Source code
rIU Man page Source code
rcpp_add_biases Source code
relu_activator Man page
sigmoid_activator Man page
unlist Source code
davharris/mistnet2 documentation built on May 12, 2017, 7:42 p.m.