Data Science and Machine Learning (Theory and Projects) A to Z - Gradient Descent in RNN: Equations Solution

The video tutorial explains a mathematical problem involving the combination of matrices and vectors. It introduces a variable 'something' that can be any number, which is used to compute a result Y. The tutorial discusses the flexibility of this variable and the order of operations required for matrices WA and WX. It concludes by demonstrating how to combine matrices A and X to achieve the desired result.

What is the role of the variable 'something' in the computation of Y?

• It defines the type of matrix operation.

• It is used to multiply with vectors and matrices.

• It determines the size of the matrix.

• It is a placeholder for unknown values.

What is the fixed order for the matrix WA?

• R * 15

• R * 10

• R * 20

• R * 5

How should matrices A and X be combined?

• By transposing them.

• By combining WA and WX in the same way.

• By adding their elements.

• By multiplying their elements.

What is the final dimension of the matrix after combining A and X?

• R by 20

• R by 30

• R by 10

• R by 40

What is the dimension of the resulting matrix Y?

• R by 20

• R by 10

• R by 30

• R by 1