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2.1 Scalars, Vectors, Matrices and Tensors
2.10 The Trace Operator
2.11 The determinant
2.12 Example - Principal Components Analysis
2.2 Multiplying Matrices and Vectors
2.3 Identity and Inverse Matrices
2.4 Linear Dependence and Span
2.5 Norms
2.6 Special Kinds of Matrices and Vectors
2.7 Eigendecomposition
2.8 Singular Value Decomposition
- images
- 2.8 Singular Value Decomposition.ipynb
- test_svd.jpg
2.9 The Moore-Penrose Pseudoinverse
3.1-3.3 Probability Mass and Density Functions
3.4-3.5 Marginal and Conditional Probability
LICENSE
deep-learning-book-goodfellow-cover.jpg
readme.md

2.8 Singular Value Decomposition

Apr 29, 2019

af82a7c · Apr 29, 2019

Name	Name	Last commit message	Last commit date
parent directory ..
images	images	update for git	Apr 29, 2019
2.8 Singular Value Decomposition.ipynb	2.8 Singular Value Decomposition.ipynb	update for git	Apr 29, 2019
test_svd.jpg	test_svd.jpg	almost finishes 2.9	Feb 24, 2018