Reference Summary: White shape is a result of a composite linear transformation: 2D shearing, translation (3D shearing) and rotation. This lecture is part of Chapter 2 (Linear Algebra) of the course "Deep Learning Mathematics and Theory".
Eigendecomposition 26422 -
White shape is a result of a composite linear transformation: 2D shearing, translation (3D shearing) and rotation. This lecture is part of Chapter 2 (Linear Algebra) of the course "Deep Learning Mathematics and Theory". In this video we use hands-on code demos in Python to provide you with a working understanding of the
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- White shape is a result of a composite linear transformation: 2D shearing, translation (3D shearing) and rotation.
- This lecture is part of Chapter 2 (Linear Algebra) of the course "Deep Learning Mathematics and Theory".
- In this video we use hands-on code demos in Python to provide you with a working understanding of the
- In this section, we explain detailly and visually the concepts of eigen values and eigen vectors.
- In this video, we explore how we can factorize a square matrix using the
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