Learn practical skills, build real-world projects, and advance your career
import numpy as np
import torch
inputs = np.array([[73,67,43],
                  [91,88,64],
                  [87,134,58],
                  [102,43,37],
                  [69,96,70]], dtype='float32')
targets = np.array([[56,70],
                   [81,101],
                   [119,133],
                   [22,37],
                   [103, 119]], dtype='float32')
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
print(inputs)
print(targets)
tensor([[ 73., 67., 43.], [ 91., 88., 64.], [ 87., 134., 58.], [102., 43., 37.], [ 69., 96., 70.]]) tensor([[ 56., 70.], [ 81., 101.], [119., 133.], [ 22., 37.], [103., 119.]])
w = torch.randn(2,3,requires_grad=True)
b = torch.randn(2, requires_grad=True)
print(w)
print(b)
tensor([[ 0.4744, 1.6091, -1.0200], [ 0.5393, 0.4432, -0.9145]], requires_grad=True) tensor([1.1678, 0.0228], requires_grad=True)