Tensors are the basic units of deep learning frameworks, neural networks functions calculations. A one dimensional tensor is like a list of elements. A two dimensional tensor is like an excel sheet it has a row dimension and a column dimension. 3D tensor is like an RGB marked image. Each pixel has a red, green, blue value, makes each pixel representation 3 dimensional.
Trivia: Tensorflow is named after tensors. Duh
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