Understanding Tensors
Tensors are versatile mathematical constructs that can represent data in multiple dimensions, with two-dimensional tensors being the most common. Black and white images can be viewed as three-dimensional tensors with a depth of one, while color images expand this concept further with separate channels for red, green, and blue. The discussion also touches on how moving images introduce a fourth dimension, showcasing the complexity and utility of tensors in machine learning.In this clip
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