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The book presents knowledge of artificial intelligence for beginners and those who are studying it, through TensorFlow. TensorFlow is an open-source machine learning framework for all developers. It is used to deploy machine learning and deep learning applications. To develop and research compelling ideas about artificial intelligence, the Google team created TensorFlow. TensorFlow was designed in the Python programming language, hence it is considered an easy-to-understand framework. Tensorflow is Google's library for deep learning and artificial intelligence. Deep learning has been responsible for a number of recent amazing achievements, such as: - Create beautiful, authentic images of people and things that never existed (GAN) - Beat world champions in the strategy game Go and complex video games like CS: GO and Dota 2 (Deep reinforcement learning) - A self-driving car (Computer Vision) - Speech recognition (ex: Siri) and machine translation (Natural language processing) - Even create videos of people doing and saying things they never did (DeepFakes - a probable nefarious application of deep learning)
This book introduces the fundamental concepts of artificial intelligence and machine learning, focusing on practical implementation using Python and the TensorFlow framework. It is designed for beginners and students seeking to understand how to deploy AI and deep learning applications. The text explains TensorFlow's origins with Google and its role in advancing AI capabilities, highlighting its Python-based design for ease of use.
This book appears to offer a practical introduction to artificial intelligence and machine learning for those new to the field, with a strong emphasis on Python and TensorFlow. The content covers key areas of deep learning and its recent advancements, suggesting it aims to equip readers with foundational knowledge for deploying AI applications. The focus on TensorFlow indicates a practical, hands-on approach to learning these complex subjects.
Page Count:
95
Publication Date:
2021-03-24
Publisher:
Independently Published
ISBN-13:
9798727582367
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