Which statement is TRUE about RBM?1 pointAt the hidden layer's nodes, X is multiplied by a W (weight matrix) and added to h_bias.Each node in the first layer has a bias.The RBM reconstructs data by making several forward and backward passes between the visible and hidden layers.It is a Boltzmann machine, but with no connections between nodes in the same layer.All of the above

How many layers does an RBM (Restricted Boltzmann Machine) have?1 point342InfinteAll of the above

Which statement is TRUE statement about an RBM?1 pointThe Positive phase of an RBM increases the probability of training data.The Negative phase of an RBM decreases the probability of samples generated by the model.Contrastive Divergence (CD) is used to approximate the negative phase of an RBM.The objective function is to maximize the likelihood of our data being drawn from the reconstructed data distribution.All of the above

what is the difference between Autoencoders and RBMs?1 pointAutoencoders have less layeres than RBMS.Autoencoders use a deterministic approach, but RBMs use a stochastic approach.Autoencoders are used for supervised learning, but RBMs are used for unsupervised learning.All of the above

How does an RBM compare to a PCA?1 pointBoth can regenerate input dataPCA cannot generate original dataPCA is another type of Neural NetworkRBM cannot reduce dimensionalityAll of the above

What is the main application of RBM?1 pointCollaborative filteringFeature extractionData dimensionality reductionAll of the above