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Linear Algebra for AI/ML Part 2 – Dot Product
- deleted 2y ago[deleted]
- nabla9 2y agoConfusing notation in the second image example. If both vectors are viewed as column vectors, dot product is defined as aᵀb. a is transposed and aᵀb is matrix product of vectors. Since you can think vectors as column or row vectors, but usually as column vectors it's better to stick to what is common to avoid confusion.
- trybackprop 2y agoThanks for the feedback!
- nabla9 2y agoIt's nitpicking until you someone learns about Hadamard product and confusion sets in. a∘b = a_ij × b_ij a·b = aᵀb = a_ji × b_ij