Pythonic AI

Pythonic AI
Author :
Publisher : BPB Publications
Total Pages : 554
Release :
ISBN-10 : 9789355515919
ISBN-13 : 935551591X
Rating : 4/5 (19 Downloads)

Book Synopsis Pythonic AI by : Arindam Banerjee

Download or read book Pythonic AI written by Arindam Banerjee and published by BPB Publications. This book was released on 2023-10-31 with total page 554 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlock the power of AI with Python: Your Journey from Novice to Neural Nets KEY FEATURES ● Learn to code in Python and use Google Colab's hardware accelerators (GPU and TPU) to train and deploy AI models efficiently. ● Develop Convolutional Neural Networks (CNNs) using the TensorFlow 2 library for computer vision tasks. ● Develop sequence, attention-based, and Transformer models using the TensorFlow 2 library for Natural Language Processing (NLP) tasks. DESCRIPTION “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. By the end of the book, you will learn how to develop a portfolio of AI projects that will help you land your dream job in AI. WHAT YOU WILL LEARN ● Create neural network models using the TensorFlow 2 library. ● Develop Convolutional Neural Networks (CNNs) for computer vision tasks. ● Develop Sequence models for Natural Language Processing (NLP) tasks. ● Create Attention-based and Transformer models. ● Learn how to create Generative Adversarial Networks (GANs). WHO THIS BOOK IS FOR This book is for everyone who wants to learn how to build AI applications in Python, regardless of their experience level. Whether you're a student, a tech professional, a non-techie, or a technology enthusiast, this book will teach you the fundamentals of Python and AI, and show you how to apply them to real-world problems. TABLE OF CONTENTS 1. Python Kickstart: Concepts, Libraries, and Coding 2. Setting up AI Lab 3. Design My First Neural Network Model 4. Explore Designing CNN with TensorFlow 5. Develop CNN-based Image Classifier Apps 6. Train and Deploy Object Detection Models 7. Create a Text and Image Reader 8. Explore NLP for Advanced Text Analysis 9. Up and Running with Sequence Models 10. Using Sequence Models for Automated Text Classification 11. Create Attention and Transformer Models 12. Generating Captions for Images 13. Learn to Build GAN Models 14. Generate Artificial Faces Using GAN


Pythonic AI Related Books

Pythonic AI
Language: en
Pages: 554
Authors: Arindam Banerjee
Categories: Computers
Type: BOOK - Published: 2023-10-31 - Publisher: BPB Publications

DOWNLOAD EBOOK

Unlock the power of AI with Python: Your Journey from Novice to Neural Nets KEY FEATURES ● Learn to code in Python and use Google Colab's hardware accelerator
Artificial Intelligence with Python
Language: en
Pages: 437
Authors: Prateek Joshi
Categories: Computers
Type: BOOK - Published: 2017-01-27 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

Build real-world Artificial Intelligence applications with Python to intelligently interact with the world around you About This Book Step into the amazing worl
Artificial Intelligence with Python
Language: en
Pages: 619
Authors: Alberto Artasanchez
Categories: Computers
Type: BOOK - Published: 2020-01-31 - Publisher: Packt Publishing Ltd

DOWNLOAD EBOOK

New edition of the bestselling guide to artificial intelligence with Python, updated to Python 3.x, with seven new chapters that cover RNNs, AI and Big Data, fu
Machine Learning with Python
Language: en
Pages: 268
Authors: Abhishek Vijayvargia
Categories: Computers
Type: BOOK - Published: 2018-03-01 - Publisher: BPB Publications

DOWNLOAD EBOOK

Providing code examples in python, this book introduces the concepts of machine learning with mathematical explanations and programming fundamentals. --
Explainable AI with Python
Language: en
Pages: 202
Authors: Leonida Gianfagna
Categories: Computers
Type: BOOK - Published: 2021-04-28 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides a full presentation of the current concepts and available techniques to make “machine learning” systems more explainable. The approaches