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Updated 4 years ago
import numpy as np
import torch
import torch.nn as nn
#input(temp, rainfall, humidity)
inputs = np.array([[73,67,43],[91,88,64], [87,134,58],[102,42,37],[69,96,70]
,[73,67,43],[91,88,64],[87,134,58],[102,42,37],[69,96,70],
[73,67,43],[91,88,64], [87,134,58],[102,42,37],[69,96,70]],
dtype ='float32')
#targets(apple,orange)
targets = np.array([[56,70], [81,101], [119,133],[22,37],[103,119],
[56,70], [81,101], [119,133],[22,37],[103,119],
[56,70], [81,101], [119,133],[22,37],[103,119]],
dtype ='float32')
inputs = torch.from_numpy(inputs)
targets = torch.from_numpy(targets)
That tensors are a generalization of matrices and are represented using n-dimensional arrays