PyTorch - Difference between rand() and randn() rand() - Returns a tensor filled with random numbers from a uniform distributionon the interval[0, 1) torch.rand(100) tensor([0.7880, 0.3032, 0.3627, 0.7082, 0.1795, 0.4985, 0.9594, 0.7900, 0.9585,0.9081, 0.1518, 0.7774, 0.5773, 0.7038, 0....
Python code to demonstrate the difference between randn() and normal() functionsExample: numpy.random.normal() Methodimport numpy as np # Using random.normal res = np.random.normal(0,0.1, 10) # Display result print("Result:\n",res) Output...