Man pages for stefan-m-lenz/dsBoltzmannMachinesClient
Client for dsBoltzmannMachines
| ds.bm.defineLayer | Define training parameters for one RBM layer in a DBM or DBN |
| ds.bm.definePartitionedLayer | Define parameters for training a partitioned RBM layer in a... |
| ds.bm.exactloglikelihood | Exact calculation of the log-likelihood of a Boltzmann... |
| ds.bm.samples | Generate samples from a Boltzmann machine model |
| ds.dbm.exactloglikelihood | Exact calculation of the log-likelihood of a DBM |
| ds.dbm.loglikelihood | Likelihood estimation for a DBM model |
| ds.dbm.logproblowerbound | Estimation of the variational lower bound of the log... |
| ds.dbm.samples | Generate samples from a deep Boltzmann machine |
| ds.dbm.top2LatentDims | Two-dimensional representation of latent features |
| ds.monitored_fitdbm | Fits a (multimodal) DBM model |
| ds.monitored_fitrbm | Fit an RBM model |
| ds.monitored_stackrbms | Train a stack of RBMs |
| ds.monitored_traindbm | Fine-Tuning of a DBM |
| ds.rbm.exactloglikelihood | Exact calculation of the log-likelihood of an RBM |
| ds.rbm.loglikelihood | Likelihood estimation for an RBM model |
| ds.rbm.samples | Generate samples from a restricted Boltzmann machine |
| ds.setJuliaSeed | Set a random seed in Julia |
| ds.splitdata | Split samples of a data set |
