Angular and Deep Learning Pocket Primer (eBook)
358 Seiten
Packt Publishing (Verlag)
978-1-83664-092-9 (ISBN)
As part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored.
The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles.
Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.
Dive into the world of AI and expert systems with this comprehensive guide, covering everything from foundational concepts to advanced applications.Key FeaturesComprehensive coverage of AI and expert systems from basics to advanced topicsPractical examples and detailed explanations for hands-on learningLogical progression of chapters to build a solid understandingBook DescriptionAs part of the Pocket Primer series, this book introduces basic deep learning concepts and integrates them into Angular 10 applications. It offers a fast-paced introduction to deep learning features and popular classifiers. Covering Angular 10 functionality, deep learning concepts, and key classification algorithms, the book includes code samples and figures. Topics such as TensorFlow and Keras are also explored. The book begins with an introduction to AI and its applications, followed by state space search and heuristic search strategies. You will delve into expert systems, their development life cycle, knowledge acquisition, and representation. These topics lead to a deeper understanding of neural networks, the learning process, and fuzzy logic systems, ensuring a comprehensive grasp of AI and deep learning principles. Understanding these concepts is essential for developing sophisticated AI applications and enhancing Angular 10 projects. This book transitions you from a novice to a proficient developer, equipped with practical skills and knowledge. Advanced topics like fuzzy expert systems and logic programming are covered, culminating in advanced Prolog. Companion files with source code and color figures enhance the learning experience, making this book an invaluable resource for integrating deep learning with Angular 10.What you will learnUnderstand the foundational concepts of AIApply heuristic search strategies effectivelyDevelop and implement expert systemsUtilize neural networks for machine learningLeverage fuzzy logic in decision-makingMaster programming in PrologWho this book is forThis book is ideal for software engineers, data scientists, and IT professionals seeking to deepen their understanding of AI and expert systems. Readers should have a basic understanding of programming and computer science principles. Prior experience with AI or machine learning concepts is beneficial but not required.]]>
| Erscheint lt. Verlag | 22.7.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-83664-092-7 / 1836640927 |
| ISBN-13 | 978-1-83664-092-9 / 9781836640929 |
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