Linear-algebra
- Deep Learning Book Series · 2.12 Example Principal Components Analysis 26-03-2018
- Deep Learning Book Series · 2.11 The determinant 26-03-2018
- Deep Learning Book Series · 2.10 The Trace Operator 26-03-2018
- Deep Learning Book Series · 2.9 The Moore Penrose Pseudoinverse 26-03-2018
- Deep Learning Book Series · 2.8 Singular Value Decomposition 26-03-2018
- Deep Learning Book Series · 2.7 Eigendecomposition 26-03-2018
- Deep Learning Book Series · 2.6 Special Kinds of Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.5 Norms 26-03-2018
- Deep Learning Book Series · 2.4 Linear Dependence and Span 26-03-2018
- Deep Learning Book Series · 2.3 Identity and Inverse Matrices 26-03-2018
- Deep Learning Book Series · 2.2 Multiplying Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.1 Scalars Vectors Matrices and Tensors 26-03-2018
- Deep Learning Book Series · Introduction 26-03-2018
Deep-learning
- Preprocessing for deep learning: from covariance matrix to image whitening 27-08-2018
- Deep Learning Book Series · Introduction 26-03-2018
Machine-learning
- Deep Learning Book Series · Introduction 26-03-2018
Python
- Deep Learning Book Series 3.4 and 3.5 Marginal and Conditional Probability 17-07-2019
- Deep Learning Book Series 3.1 to 3.3 Probability Mass and Density Functions 01-05-2019
- Preprocessing for deep learning: from covariance matrix to image whitening 27-08-2018
- Deep Learning Book Series · 2.12 Example Principal Components Analysis 26-03-2018
- Deep Learning Book Series · 2.11 The determinant 26-03-2018
- Deep Learning Book Series · 2.10 The Trace Operator 26-03-2018
- Deep Learning Book Series · 2.9 The Moore Penrose Pseudoinverse 26-03-2018
- Deep Learning Book Series · 2.8 Singular Value Decomposition 26-03-2018
- Deep Learning Book Series · 2.7 Eigendecomposition 26-03-2018
- Deep Learning Book Series · 2.6 Special Kinds of Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.5 Norms 26-03-2018
- Deep Learning Book Series · 2.4 Linear Dependence and Span 26-03-2018
- Deep Learning Book Series · 2.3 Identity and Inverse Matrices 26-03-2018
- Deep Learning Book Series · 2.2 Multiplying Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.1 Scalars Vectors Matrices and Tensors 26-03-2018
Numpy
- Deep Learning Book Series 3.4 and 3.5 Marginal and Conditional Probability 17-07-2019
- Deep Learning Book Series 3.1 to 3.3 Probability Mass and Density Functions 01-05-2019
- Preprocessing for deep learning: from covariance matrix to image whitening 27-08-2018
- Deep Learning Book Series · 2.12 Example Principal Components Analysis 26-03-2018
- Deep Learning Book Series · 2.11 The determinant 26-03-2018
- Deep Learning Book Series · 2.10 The Trace Operator 26-03-2018
- Deep Learning Book Series · 2.9 The Moore Penrose Pseudoinverse 26-03-2018
- Deep Learning Book Series · 2.8 Singular Value Decomposition 26-03-2018
- Deep Learning Book Series · 2.7 Eigendecomposition 26-03-2018
- Deep Learning Book Series · 2.6 Special Kinds of Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.5 Norms 26-03-2018
- Deep Learning Book Series · 2.4 Linear Dependence and Span 26-03-2018
- Deep Learning Book Series · 2.3 Identity and Inverse Matrices 26-03-2018
- Deep Learning Book Series · 2.2 Multiplying Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.1 Scalars Vectors Matrices and Tensors 26-03-2018
Deep-learning-book
- Deep Learning Book Series 3.4 and 3.5 Marginal and Conditional Probability 17-07-2019
- Deep Learning Book Series 3.1 to 3.3 Probability Mass and Density Functions 01-05-2019
- Deep Learning Book Series · 2.12 Example Principal Components Analysis 26-03-2018
- Deep Learning Book Series · 2.11 The determinant 26-03-2018
- Deep Learning Book Series · 2.10 The Trace Operator 26-03-2018
- Deep Learning Book Series · 2.9 The Moore Penrose Pseudoinverse 26-03-2018
- Deep Learning Book Series · 2.8 Singular Value Decomposition 26-03-2018
- Deep Learning Book Series · 2.7 Eigendecomposition 26-03-2018
- Deep Learning Book Series · 2.6 Special Kinds of Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.5 Norms 26-03-2018
- Deep Learning Book Series · 2.4 Linear Dependence and Span 26-03-2018
- Deep Learning Book Series · 2.3 Identity and Inverse Matrices 26-03-2018
- Deep Learning Book Series · 2.2 Multiplying Matrices and Vectors 26-03-2018
- Deep Learning Book Series · 2.1 Scalars Vectors Matrices and Tensors 26-03-2018