عنوان

Practical machine learning and image processing :

(Number (ISBN

1484241495

(Number (ISBN

1484241509

(Number (ISBN

9781484241493

(Number (ISBN

9781484241509

Erroneous ISBN

1484241487

Erroneous ISBN

9781484241486

Title Proper

Practical machine learning and image processing :

General Material Designation

[Book]

Other Title Information

for facial recognition, object detection, and pattern recognition using Python /

First Statement of Responsibility

Himanshu Singh.

Place of Publication, Distribution, etc.

[Berkeley, California] :

Name of Publisher, Distributor, etc.

Apress,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Setup environment -- Introduction to image processing -- Basics of Python and SciKit Image -- Advanced image processing using OpenCV -- Image processing using machine learning -- Real-time use cases -- Appendix: Important concepts and terminology.

0

Text of Note

Gain insights into image-processing methodologies and algorithms, using machine learning and neural networks in Python. This book begins with the environment setup, understanding basic image-processing terminology, and exploring Python concepts that will be useful for implementing the algorithms discussed in the book. You will then cover all the core image processing algorithms in detail before moving onto the biggest computer vision library: OpenCV. You?ll see the OpenCV algorithms and how to use them for image processing. The next section looks at advanced machine learning and deep learning methods for image processing and classification. You?ll work with concepts such as pulse coupled neural networks, AdaBoost, XG boost, and convolutional neural networks for image-specific applications. Later you?ll explore how models are made in real time and then deployed using various DevOps tools. All the concepts in Practical Machine Learning and Image Processing are explained using real-life scenarios. After reading this book you will be able to apply image processing techniques and make machine learning models for customized application. You will: Discover image-processing algorithms and their applications using Python Explore image processing using the OpenCV library Use TensorFlow, scikit-learn, NumPy, and other libraries Work with machine learning and deep learning algorithms for image processing Apply image-processing techniques to five real-time projects.

Source for Acquisition/Subscription Address

OverDrive, Inc.

Source for Acquisition/Subscription Address

Safari Books Online

Stock Number

5B25C9F1-3D51-4A69-AACD-725D86CFF768

Stock Number

CL0501000040

International Standard Book Number

9781484241486

Image processing-- Digital techniques.

Machine learning.

Optical data processing.

Python (Computer program language)

Image processing-- Digital techniques.

Machine learning.

Optical data processing.

Python (Computer program language)

COM004000

UYQ

UYQ

Number

Edition

Class number

Book number

Singh, Himanshu

Date of Transaction

20200823032554.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y