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Angular and Deep Learning Pocket Primer. A Comprehensive Guide to AI and Expert Systems for Professionals Mercury Learning and Information, Oswald Campesato

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Angular and Deep Learning Pocket Primer. A Comprehensive Guide to AI and Expert Systems for Professionals Mercury Learning and Information, Oswald Campesato - okladka książki

Angular and Deep Learning Pocket Primer. A Comprehensive Guide to AI and Expert Systems for Professionals Mercury Learning and Information, Oswald Campesato - okladka książki

Autorzy:
Mercury Learning and Information, Oswald Campesato
Serie wydawnicze:
Learn
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
358
Dostępne formaty:
     PDF
     ePub

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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.

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O autorach książki

MERCURY LEARNING and INFORMATION publishes content in the areas of science and medicine, technology and computing, engineering, and mathematics designed for the professional/reference, trade, library, higher education, career school, and online training markets.
Oswald Campesato specializes in Deep Learning, Python, Data Science, and generative AI. He is the author/co-author of over forty books including Google Gemini for Python, Data Cleaning, and GPT-4 for Developers (all Mercury Learning).

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