Machine Learning and Deep Learning in Real-Time Applications

Title Page
Copyright Page
Book Series
Editorial Advisory Board
Table of Contents
Detailed Table of Contents
Foreword
Preface
Acknowledgment
Chapter 1: Obtaining Deep Learning Models for Automatic Classification of Leukocytes
Chapter 2: Deep Leaning Using Keras
Chapter 3: Deep Learning With PyTorch
Chapter 4: Deep Learning With TensorFlow
Chapter 5: Employee\'s Attrition Prediction Using Machine Learning Approaches
Chapter 6: A Novel Deep Learning Method for Identification of Cancer Genes From Gene Expression Dataset
Chapter 7: Machine Learning in Authentication of Digital Audio Recordings
Chapter 8: Deep Convolutional Neural Network-Based Analysis for Breast Cancer Histology Images
Chapter 9: Deep Learning in Engineering Education
Chapter 10: Malaria Detection System Using Convolutional Neural Network Algorithm
Chapter 11: An Introduction to Deep Convolutional Neural Networks With Keras
Chapter 12: Emotion Recognition With Facial Expression Using Machine Learning for Social Network and Healthcare
Chapter 13: Text Separation From Document Images
Compilation of References
About the Contributors
Index