Misleading statement about matrix multiplication and dot product

[0xdbff]

I've noticed a potentially misleading statement in notebook 00. The statement is: "Multiplying matrices by each other is also referred to as the dot product."

While it's true that matrix multiplication involves calculating a series of dot products, the two operations are not the same. The dot product is an operation between two vectors that results in a scalar, while matrix multiplication is an operation between two matrices that results in another matrix. In the context of TensorFlow, tf.matmul() performs matrix multiplication, and tf.tensordot() can perform a similar operation when the axes parameter is set to 1 https://www.tensorflow.org/api_docs/python/tf/tensordot . However, these are distinct operations and should not be conflated.

I believe this statement could lead to confusion, especially for those new to these concepts. I suggest it be revised for clarity. Using tf.tensordot() for matrix multiplication can be valid in certain contexts, but the key point here is the misleading conclusion drawn from the statement.

[Debkumar49]

https://mkang32.github.io/python/2020/08/23/dot-product.html#:~:text=Matrix%20multiplication%20is%20basically%20a,of%20vectors%20in%20each%20matrix.

check out this one

[JaynouOliver]

thanks, just went through that video 1 day ago