This book provides a conceptual understanding of Deep Learning algorithms. The book consists of the four parts: foundati
703 151 28MB
English Pages 433 Year 2023
Table of contents :
Part I
1. Introduction
2. Supervised Learning
3. Unsupervised Learning
4. Ensemble Learning
Part II
5. Deep KNN Algorithm
6. Deep Probabilistic Learning
7. Deep Decision Tree
8. Deep Linear Classifier
Part III
9. Multiple Layer Perceptron
10. Recurrent Neural Networks
11. Restricted Boltzmann Machine
12. Convolutional Neural Networks
Part IV
13. Index Expansion
14. Text Summarization
15. Textual Deep Operations
16. Text Classification System