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Pythonic AI = a beginner's guide to building AI applications in Python /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Pythonic AI/ Arindam Banerjee.
Reminder of title:	a beginner's guide to building AI applications in Python /
Author:	Banerjee, Arindam.
Description:	1 online resource (430 pages)
Subject:	COMPUTERS / Artificial Intelligence / Natural Language Processing. -
Online resource:	https://portal.igpublish.com/iglibrary/search/BPB0000498.html
ISBN:	9789355515919

Pythonic AI = a beginner's guide to building AI applications in Python /
Banerjee, Arindam.

Pythonic AIa beginner's guide to building AI applications in Python /[electronic resource] :Arindam Banerjee. - 1 online resource (430 pages)

Includes bibliographical references and index.

Pythonic AI: a beginner's guide to building AI applications in Python -- Dedicated -- About the Author -- About the Reviewer -- Acknowledgement -- Preface -- Code Bundle and Coloured Images -- Table of Contents -- Chapter 1: Python Kickstart: Concepts, Libraries, and Coding -- Chapter 2: Setting up AI Lab -- Chapter 3: Design My First Neural Network Model -- Chapter 4: Explore Designing CNN with TensorFlow -- Chapter 5: Develop CNN-based Image Classifier Apps -- Chapter 6: Train and Deploy Object Detection Models -- Chapter 7: Create a Text and Image Reader -- Chapter 8: Explore NLP for Advanced Text Analysis -- Chapter 9: Up and Running with Sequence Models -- Chapter 10: Using Sequence Models for Automated Text Classification -- Chapter 11: Create Attention and Transformer Models -- Chapter 12: Generating Captions for Images -- Chapter 13: Learn to Build GAN Models -- Chapter 14: Generate Artificial Faces Using GAN -- Index.

Access restricted to authorized users and institutions.

“Pythonic AI” is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world. Besides teaching how to build AI models, the book also teaches how to understand and explore the opportunities that AI presents. It includes several hands-on projects that walk you through successful AI applications, explaining concepts like neural networks, computer vision, natural language processing (NLP), and generative models. Each project in the book also reiterates and reinforces the important aspects of Python scripting. You'll learn Python coding and how it can be used to build cutting-edge AI applications. The author explains each essential line of Python code in detail, taking into account the importance and difficulty of understanding.

Mode of access: World Wide Web.

ISBN: 9789355515919Subjects--Topical Terms:

1483851
COMPUTERS / Artificial Intelligence / Natural Language Processing.
Index Terms--Genre/Form:

554714
Electronic books.

LC Class. No.: Q334

Dewey Class. No.: 006.3

Pythonic AI = a beginner's guide to building AI applications in Python /
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505 0 $a Pythonic AI: a beginner's guide to building AI applications in Python -- Dedicated -- About the Author -- About the Reviewer -- Acknowledgement -- Preface -- Code Bundle and Coloured Images -- Table of Contents -- Chapter 1: Python Kickstart: Concepts, Libraries, and Coding -- Chapter 2: Setting up AI Lab -- Chapter 3: Design My First Neural Network Model -- Chapter 4: Explore Designing CNN with TensorFlow -- Chapter 5: Develop CNN-based Image Classifier Apps -- Chapter 6: Train and Deploy Object Detection Models -- Chapter 7: Create a Text and Image Reader -- Chapter 8: Explore NLP for Advanced Text Analysis -- Chapter 9: Up and Running with Sequence Models -- Chapter 10: Using Sequence Models for Automated Text Classification -- Chapter 11: Create Attention and Transformer Models -- Chapter 12: Generating Captions for Images -- Chapter 13: Learn to Build GAN Models -- Chapter 14: Generate Artificial Faces Using GAN -- Index.
506 $a Access restricted to authorized users and institutions.
520 3 $a “Pythonic AI” is a book that teaches you how to build AI models using Python. It also includes practical projects in different domains so you can see how AI is used in the real world. Besides teaching how to build AI models, the book also teaches how to understand and explore the opportunities that AI presents. It includes several hands-on projects that walk you through successful AI applications, explaining concepts like neural networks, computer vision, natural language processing (NLP), and generative models. Each project in the book also reiterates and reinforces the important aspects of Python scripting. You'll learn Python coding and how it can be used to build cutting-edge AI applications. The author explains each essential line of Python code in detail, taking into account the importance and difficulty of understanding.
538 $a Mode of access: World Wide Web.
650 7 $a COMPUTERS / Artificial Intelligence / Natural Language Processing. $2 bisacsh $3 1483851
650 7 $a COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition. $2 bisacsh $3 1483850
655 4 $a Electronic books. $2 local $3 554714
856 4 0 $u https://portal.igpublish.com/iglibrary/search/BPB0000498.html