The Power Of Artificial Intelligence Exploring Machine Learning And Neural Networks
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The Power of Artificial Intelligence Exploring Machine Learning and Neural Networks
"The Power of Artificial Intelligence: Exploring Machine Learning and Neural Networks" is a book that provides an overview of the field of artificial intelligence (AI), with a focus on machine learning and neural networks. The book explains the basic concepts and techniques of AI and how they can be applied to solve real-world problems. The book covers a wide range of topics, including supervised and unsupervised learning, neural network architectures, deep learning, natural language processing, computer vision, and more. It also discusses the ethical and societal implications of AI, as well as the future of the field. The book is written in a clear and concise style, making it accessible to readers with a basic understanding of computer science and mathematics. It is aimed at anyone interested in learning about AI and its potential applications, including students, researchers, and professionals in fields such as data science, engineering, and computer programming.
Practical Deep Learning for Cloud, Mobile, and Edge
Whether you’re a software engineer aspiring to enter the world of deep learning, a veteran data scientist, or a hobbyist with a simple dream of making the next viral AI app, you might have wondered where to begin. This step-by-step guide teaches you how to build practical deep learning applications for the cloud, mobile, browsers, and edge devices using a hands-on approach. Relying on years of industry experience transforming deep learning research into award-winning applications, Anirudh Koul, Siddha Ganju, and Meher Kasam guide you through the process of converting an idea into something that people in the real world can use. Train, tune, and deploy computer vision models with Keras, TensorFlow, Core ML, and TensorFlow Lite Develop AI for a range of devices including Raspberry Pi, Jetson Nano, and Google Coral Explore fun projects, from Silicon Valley’s Not Hotdog app to 40+ industry case studies Simulate an autonomous car in a video game environment and build a miniature version with reinforcement learning Use transfer learning to train models in minutes Discover 50+ practical tips for maximizing model accuracy and speed, debugging, and scaling to millions of users
An Intuitive Exploration of Artificial Intelligence
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.