Machine Learning and Deep Learning in Real Time Applications 1st Edition by Mehul Mahrishi ISBN 1799830969 9781799830962 by Paawan Sharma, Kamal Kant Hiran, Gaurav Meena, Mehul Mahrishi 9781799819127, 9781799825319, 9781799827689, 9781799830955, 9781799830962, 9781799830979, 9782019048556, 1799819124, 1799825310 instant download after payment.

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ISBN 10: 1799830969 
ISBN 13: 9781799830962
Author: Mehul Mahrishi

Machine Learning and Deep Learning in Real Time Applications 1st Table of contents:

Chapter 1: Obtaining Deep Learning Models for Automatic Classification of Leukocytes
ABSTRACT
INTRODUCTION
BACKGROUND
IMPLEMENTATION
RESULTS
CONCLUSION
REFERENCES
ADDITIONAL READING
KEY TERMS AND DEFINITIONS
Chapter 2: Deep Leaning Using Keras
ABSTRACT
KERAS
ARTIFICIAL INTELLIGENCE VS MACHINE LEARNING VS DEEP LEARNING
SETUP A PYTHON ENVIRONMENT FOR MACHINE LEARNING AND DEEP LEARNING
DATASETS WITHIN KERAS
BUILDING A DEEP NEURAL NETWORK USING SEQUENTIAL APPROACH FOR OBJECT DETECTION USING CIFAR DATASET
PRE-TRAINED MODELS AVAILABLE WITH KERAS API
TRANSFER LEARNING WITH KERAS AND DEEP LEARNING
STEPS TO PERFORM TRANSFER LEARNING IN KERAS
TENSORFLOW VS. KERAS
REFERENCES
Chapter 3: Deep Learning With PyTorch
ABSTRACT
INTRODUCTION
CONCLUSION
REFERENCES
Chapter 4: Deep Learning With TensorFlow
ABSTRACT
DEEP LEARNING
TENSORFLOW
WHY TENSORFLOW?
TENSOR
DATAFLOW GRAPH
BASICS OF CODING IN TENSORFLOW
TYPES OF DATA IN TENSORFLOW
INSTALLATION OF TENSORFLOW IN ANACONDA DISTRIBUTION
TENSORBOARD
IMPLEMENTATION
DATASETS AVAILABLE WITH TENSORFLOW
A PRACTICAL IMPLEMENTATION OF DEEP LEARNING PROBLEM TO IDENTIFY THE HANDWRITTEN DIGITS USING MNIST DATASET
ADVANTAGES AND DISADVANTAGES OF TENSORFLOW
REFERENCES
Chapter 5: Employee's Attrition Prediction Using Machine Learning Approaches
ABSTRACT
INTRODUCTION
CONCLUSION
REFERENCES
Chapter 6: A Novel Deep Learning Method for Identification of Cancer Genes From Gene Expression Dataset
ABSTRACT
INTRODUCTION
SIGNIFICANCE OF CANCER DIAGNOSIS USING MICROARRAY
GENETIC ALGORITHM FOR PERFORMING BICLUSTERING OPERATIONS
STACKED DENOISING AUTOENCODER DEEP LEARNING TECHNIQUE FOR PATTERN SELECTION
PROPOSED METHOD
EXPERIMENTAL RESULTS AND ANALYSIS
BIOLOGICAL VALIDATION OF BICLUSTERS
CONCLUSION AND FUTURE WORK
REFERENCES
Chapter 7: Machine Learning in Authentication of Digital Audio Recordings
ABSTRACT
INTRODUCTION
BACKGROUND
FRAMEWORK FOR ACOUSTIC ENVIRONMENT IDENTIFICATION
FRAMEWORK FOR AUDIO PROCESSING SYSTEM WITH TAMPERING DETECTION
APPLICATIONS OF MACHINE LEARNING IN AUDIO AUTHENTICATION
RESULTS
CONCLUSION
REFERENCES
Chapter 8: Deep Convolutional Neural Network-Based Analysis for Breast Cancer Histology Images
ABSTRACT
INTRODUCTION
LITERATURE SURVEY
METHODOLOGY
EXPERIMENTAL RESULTS
CONCLUSION
REFERENCES
Chapter 9: Deep Learning in Engineering Education
ABSTRACT
INTRODUCTION
BACKGROUND
PERFORMANCE PREDICTION USING HYBRID MODEL
SOLUTIONS AND RECOMMENDATIONS
FUTURE RESEARCH DIRECTIONS
CONCLUSION
REFERENCES
ADDITIONAL READING
KEY TERMS AND DEFINITIONS
Chapter 10: Malaria Detection System Using Convolutional Neural Network Algorithm
ABSTRACT
INTRODUCTION
LITERATURE REVIEW
BACKGROUND
SOLUTIONS AND RECOMMENDATIONS
METHODOLOGIES
PROCEDURAL WORKFLOW OF THE CNN ALGORITHM
RESULTS AND DISCUSSIONS
INPUT IMAGES
CONCLUSION AND FUTURE DIRECTIONS
REFERENCES
Chapter 11: An Introduction to Deep Convolutional Neural Networks With Keras
ABSTRACT
INTRODUCTION
REFERENCES
Chapter 12: Emotion Recognition With Facial Expression Using Machine Learning for Social Network and Healthcare
ABSTRACT
INTRODUCTION
BACKGROUND:
EXPERIMENTAL SETUP
IMPLEMENTATION AND RESULT
FUTURE WORK AND CONCLUSION
REFERENCES
Chapter 13: Text Separation From Document Images
ABSTRACT
INTRODUCTION
BACKGROUND
METHODS FOR TEXT SEGMENTATION/EXTRACTION
TRADITIONAL IMAGE PROCESSING METHODS
BLOCK EXTRACTION
BOUNDARY/PERIMETER DETECTION
CONNECTED COMPONENT, AREA COMPUTATION, AND TEXT SEPARATION
DEEP LEARNING METHODS
MODES IN TRANSFER LEARNING
METHODOLOGY TO SEPARATE DEVANAGARI TEXT FROM IMAGES USING TRANSFER LEARNING
SUMMARY (COMPARISON OF TRADITIONAL TECHNIQUES WITH THE DEEP LEARNING APPROACH)
CONCLUSION
REFERENCES
KEY TERMS AND DEFINITIONS

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Tags: Mehul Mahrishi, Machine, Deep