Chapter
Publicly Available
Frontmatter
-
Leonid Berlyand
Chapters in this book
- Frontmatter I
- Contents V
- 1 About this book 1
- 2 Introduction to machine learning: what and why? 2
- 3 Classification problem 4
- 4 The fundamentals of artificial neural networks 6
- 5 Supervised, unsupervised, and semisupervised learning 19
- 6 The regression problem 24
- 7 Support vector machine 40
- 8 Gradient descent method in the training of DNNs 52
- 9 Backpropagation 67
- 10 Convolutional neural networks 93
- A Review of the chain rule 119
- Bibliography 121
- Index 125
Chapters in this book
- Frontmatter I
- Contents V
- 1 About this book 1
- 2 Introduction to machine learning: what and why? 2
- 3 Classification problem 4
- 4 The fundamentals of artificial neural networks 6
- 5 Supervised, unsupervised, and semisupervised learning 19
- 6 The regression problem 24
- 7 Support vector machine 40
- 8 Gradient descent method in the training of DNNs 52
- 9 Backpropagation 67
- 10 Convolutional neural networks 93
- A Review of the chain rule 119
- Bibliography 121
- Index 125
