Ultimate Neural Network Programming with Python
Vishal Rajput
Verkauft von AHA-BUCH GmbH, Einbeck, Deutschland
AbeBooks-Verkäufer seit 14. August 2006
Neu - Softcover
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legenVerkauft von AHA-BUCH GmbH, Einbeck, Deutschland
AbeBooks-Verkäufer seit 14. August 2006
Zustand: Neu
Anzahl: 1 verfügbar
In den Warenkorb legennach der Bestellung gedruckt Neuware - Printed after ordering - Master Neural Networks for Building Modern AI Systems.DESCRIPTIONThis book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon. The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.Throughout the chapters, readers are engaged with the book through practice exercises, and supplementary learnings. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding.This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.TABLE OF CONTENTS 1. Understanding AI History2. Setting up Python Workflow for AI Development3. Python Libraries for Data Scientists4. Foundational Concepts for Effective Neural Network Training5. Dimensionality Reduction, Unsupervised Learning and Optimizations6. Building Deep Neural Networks from Scratch7. Derivatives, Backpropagation, and Optimizers8. Understanding Convolution and CNN Architectures9. Understanding Basics of TensorFlow and Keras10. Building End-to-end Image Segmentation Pipeline11. Latest Advancements in AIIndex.
Bestandsnummer des Verkäufers 9789391246549
Master Neural Networks for Building Modern AI Systems.
Book Description
This book is a practical guide to the world of Artificial Intelligence (AI), unraveling the math and principles behind applications like Google Maps and Amazon.
The book starts with an introduction to Python and AI, demystifies complex AI math, teaches you to implement AI concepts, and explores high-level AI libraries.
Throughout the chapters, readers are engaged with the book through practice exercises and supplementary learnings. The book then gradually moves to Neural Networks with Python before diving into constructing ANN models and real-world AI applications. It accommodates various learning styles, letting readers focus on hands-on implementation or mathematical understanding.
This book isn't just about using AI tools; it's a compass in the world of AI resources, empowering readers to modify and create tools for complex AI systems. It ensures a journey of exploration, experimentation, and proficiency in AI, equipping readers with the skills needed to excel in the AI industry.
Table of Contents
1. Understanding AI History
2. Setting up Python Workflow for AI Development
3. Python Libraries for Data Scientists
4. Foundational Concepts for Effective Neural Network Training
5. Dimensionality Reduction, Unsupervised Learning and Optimizations
6. Building Deep Neural Networks from Scratch
7. Derivatives, Backpropagation, and Optimizers
8. Understanding Convolution and CNN Architectures
9. Understanding the Basics of TensorFlow and Keras
10. Building End-to-end Image Segmentation Pipeline
11. Latest Advancements in AI
Index
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