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

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

Assessment

Interactive Video

Information Technology (IT), Architecture, Mathematics

University

Hard

Created by

Quizizz Content

FREE Resource

The video tutorial discusses the parameter matrices W and the hidden state vector A, which has 10 elements. It explains the input vector X with 20 elements and how Y is computed using these vectors and matrices. The tutorial explores the necessary sizes and orders of matrices for computing Y and how to combine vectors and matrices to simplify the equation, resulting in a new vector Z.

Read more

2 questions

Show all answers

1.

OPEN ENDED QUESTION

3 mins • 1 pt

Explain how the vectors a and X can be combined to form a new vector A1.

Evaluate responses using AI:

OFF

2.

OPEN ENDED QUESTION

3 mins • 1 pt

Describe the equation Y = W * Z and how it relates to the matrices discussed.

Evaluate responses using AI:

OFF