Tensor Introduction in PyTorch: Part-1 | Deep learning with PyTorch (Bangla)
Tensors are the key components of Pytorch. We can say PyTorch is wholly based on the Tensors. In mathematics, a rectangular array of number is called metrics. In NumPy library, these metrics called ndaaray. In PyTorch, it is known as Tensor. A tensor is an n-dimensional data container. For example, In PyTorch, 1d-tensor is a vector, 2d-tensor is a metrics, 3d- tensor is a cube, and 4d-tensor is a cube vector.
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