Pytorch, Torch, Torchvision, Deep Learning, Python.
function) Therefore, we can generate a random variable using Bernoulli distribution on a random tensor in the range of zero and one. events = torch.Tensor(2, 2).uniform_(0, 1) torch.bernoulli(events) >> tensor([[0., 1.], [1., 0.]]) Normal distribution To calculate the outcome, we use the normal