BOOK_CHAPTERDeep Learning - Chapter 2: Linear Algebra

Covers: theory of Matrix Multiplication
Estimated time needed: 15 minutes
Why this is worth your time
It explains the basic rules of matrix multiplication in a short and clear way.
Questions this item adddesses:
  • What are Scalars, Vectors, Matrices and Tensors?
  • How to multiply Matrices and Vectors?
  • How to multiply two Matrices?
How to use this item?

Read sections 2.1 to 2.6 of the chapter

URL: https://www.deeplearningbook.org/
Author(s) / creator(s) / reference(s)
Goodfellow et al.
Shortlist
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Matrix Multiplication

Sandra Lopez-ZamoraTotal time needed: ~54 minutes
Learning Objectives
Understand and practice the concept and properties of Matrix Multiplication
Potential Use Cases
Mathematical foundations for Deep Learning
Target Audience
BEGINNERDeep Learning practitioners new to Mathematical foundations
Go through the following annotated items in order:
BOOK_CHAPTER 1. Deep Learning - Chapter 2: Linear Algebra
It explains the basic rules of matrix multiplication in a short and clear way.
  • What are Scalars, Vectors, Matrices and Tensors?
  • How to multiply Matrices and Vectors?
  • How to multiply two Matrices?
15 minutes
VIDEO 2. Introduction to Vectors and Scalars
It explains the differences between vectors and scalars
  • What is the difference between vectors and scalars?
9 minutes
ARTICLE 3. Multiplying matrices by scalars
This resource presents a video, explanation and exercises to understand better the concept
  • How can I multiply a matrix by a scalar?
15 minutes
ARTICLE 4. Multiplying matrices by matrices
This resource explains the concept of Matrix by Matrix multiplication and provides practice exercises.
  • How to find the product of two matrices?
15 minutes

Concepts Convered