tensor([[[0.0702, 0.4700, 0.8626, 0.5981, 0.2569], [0.5060, 0.4742, 0.7492, 0.3597, 0.8754], [0.7581, 0.8954, 0.3205, 0.7038, 0.3167], [0.1799, 0.9890, 0.9624, 0.2595, 0.6935]], [[0.0338, 0.9996, 0.2049, 0.0127, 0.1300], [0.6330, 0.4086, 0.6630, 0.0960, 0.5759], [0.1510, 0.3219, 0.5052, 0.5823, 0.8093], [0.1546, 0.9815, 0.6459, 0.1247, 0.1438]]])    

tensor([[[0.5540, 0.2965, 0.7656, 0.0864, 0.4719], [0.1797, 0.8056, 0.5731, 0.3665, 0.7524], [0.7091, 0.5366, 0.6332, 0.8776, 0.0760], [0.1010, 0.5353, 0.9416, 0.2458, 0.8791]], [[0.8621, 0.0030, 0.5289, 0.6757, 0.2340], [0.5413, 0.6108, 0.5478, 0.5954, 0.1434], [0.6445, 0.6780, 0.4488, 0.3309, 0.0727], [0.2652, 0.6528, 0.6589, 0.6072, 0.5976]]])    

Introduction This tutorial will show you how to create Tensors with random values in PyTorch by using torch.rand() and torch.rand_like() functions. In

Introduction In this tutorial, we will teach how to use torch.randn() and torch.randn_like() to create PyTorch tensors with random values. Initializing tensors with random values is quite common in