my-first-notebook

Use the "Run" button to execute the code.

import numpy as np
import torch
inpputs = 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')

#convert inputs and targets to tensors

inpputs = torch.from_numpy(inpputs)
targets = torch.from_numpy(targets)
print(inpputs)
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([[-0.7959, -0.6247, -0.7196],
        [-1.1137, -0.5585,  1.7536]], requires_grad=True)
tensor([-0.0155, -0.7035], requires_grad=True)