Neural Networks

Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman...

It seems that artificial intelligence (AI) is always just five years away, but it never arrives. Recently, however, developments have made the practical utility of game theory a genuine reality. Will sport provide the petri dish in which AI will prove...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262048033Author Sanjeev GoyalFormat HardbackPage Count 880Imprint MIT PressPublisher MIT Press Ltd

Develop Bayesian Deep Learning models to help make your own applications more robust. Key Features Gain insights into the limitations of typical neural networks Acquire the skill to cultivate neural networks capable of estimating uncertainty ...

Fun and exciting projects to learn what artificial minds can createKey FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook inside the most famous deep generative models, from GPT to MuseGANLearn to build...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781916279117Author James V StoneFormat PaperbackPage Count 62Imprint James V StonePublisher James V StoneWeight(grams) 95gDimensions(mm) 229mm * 152mm * 3mm

Explore effective trading strategies in real-world markets using NumPy, spaCy, pandas, scikit-learn, and KerasKey FeaturesImplement machine learning algorithms to build, train, and validate algorithmic modelsCreate your own algorithmic design process to...

After many years during which it languished in relative obscurity - in remote classrooms of computer science departments and in small prototype projects for tech companies - AI is now a searingly hot topic across the media. Yet much of the public...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780553349467Author William F AllmanFormat PaperbackPage Count 228Imprint Bantam USAPublisher Bantam Doubleday Dell Publishing Group Inc

Master generative AI techniques to create images and text using Variational Autoencoders (VAEs), Generative Adversarial Networks (GANs), LSTMs, and Large Language Models (LLMs) Key Features Implement real-world applications of LLMs and generative...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781682856178Author Scott CarterFormat HardbackPage Count 235Imprint Willford PressPublisher Willford PressWeight(grams) 835gDimensions(mm) 279mm * 216mm *...

A hands-on guide to powerful graph-based deep learning models! Graph Neural Networks in Action is a great guide about how to build cutting-edge graph neural networks and powerful deep learning models for recommendation engines, molecular modeling, and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780854661527Author Constantin VolosencuFormat HardbackPage Count 100Imprint IntechOpenPublisher IntechOpen

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781682856697Author Jeremy RogersonFormat HardbackPage Count 192Imprint Willford PressPublisher Willford PressWeight(grams) 558gDimensions(mm) 254mm * 178mm...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647280291Author Madison WhiteFormat HardbackPage Count 250Imprint Willford PressPublisher Willford PressWeight(grams) 653gDimensions(mm) 254mm * 178mm *...

Encourages readers to compare and contrast hand-written code with ChatGPT-generated code. This approach fosters discussions on code efficiency, readability, and maintainability, enhancing understanding of programming paradigms and techniques. This book...

Theory of Neural Information Processing Systems provides an explicit, coherent, and up-to-date account of the modern theory of neural information processing systems. It has been carefully developed for graduate students from any quantitative dsicipline,...

Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic...

Like no other text in this field, authors Jose C. Principe, Neil R. Euliano, and W. Curt Lefebvre have written a unique and innovative text unifying the concepts of neural networks and adaptive filters into a common framework. The text is suitable for...

This book will advance the understanding and application of self-adaptive intelligent systems; therefore it will potentially benefit the long-term goal of replicating certain levels of brain-like intelligence in complex and networked engineering systems...

"Optical communications and fiber technology are fast becoming key solutions for the increasing bandwidth demands of the 21st century. This introductory text provides practicing engineers, managers, and students with a useful guide to the latest...

Enhance your understanding of the failure mechanisms of optical components, and draft fault detection guidelines to design a robust Dense Wavelength Digital Multiplexing (DWDM) system and network that exhibits and maintains optical signal quality and...

No detailed description available for "Natural Language Processing and Machine Learning for Developers".About the AuthorCampesato Oswald : Oswald Campesato (San Francisco, CA) is an adjunct instructor at UC-Santa Clara and specializes in Deep Learning,...

Deep learning has transformed the fields of computer vision, image processing, and natural language applications. Thanks to TensorFlow.js, now JavaScript developers can build deep learning apps without relying on Python or R. Deep Learning with...

Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models Key Features Implement GAN architectures to generate images, text, audio, 3D models, and more Understand how GANs work and become an...

Gain expertise in advanced deep learning domains such as neural networks, meta-learning, graph neural networks, and memory augmented neural networks using the Python ecosystem Key Features Get to grips with building faster and more robust deep learning...

Uncover the power of artificial neural networks by implementing them through R code. About This Book * Develop a strong background in neural networks with R, to implement them in your applications * Build smart systems using the power of deep learning *...

Leverage the full potential of SAS to get unique, actionable insights from your data Key Features Build enterprise-class data solutions using SAS and become well-versed in SAS programming Work with different data structures, and run SQL queries to...

Learn more about stories, examples, and ground-breaking research in this book to help you unleash your creative potential as aprogrammer! For programmers of all experience and skill levels. In The Creative Programmer you will learn the processes and...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734790122Author Ai PublishingFormat PaperbackPage Count 310Imprint AI Publishing LLCPublisher AI Publishing LLCWeight(grams) 417gDimensions(mm) 229mm *...

Leverage the power of the Reinforcement Learning techniques to develop self-learning systems using Tensorflow About This Book * Learn reinforcement learning concepts and their implementation using TensorFlow * Discover different problem-solving...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789814950626Author Jonathan S WalkerFormat PaperbackPage Count 102Imprint Jw ChoicesPublisher Jw ChoicesWeight(grams) 145gDimensions(mm) 229mm * 152mm * 5mm

Fairness is becoming a paramount consideration for data scientists. Mounting evidence indicates that the widespread deployment of machine learning and AI in business and government is reproducing the same biases we're trying to fight in the real world...

Learn how to solve challenging machine learning problems with TensorFlow, Google's revolutionary new software library for deep learning. If you have some background in basic linear algebra and calculus, this practical book introduces machine-learning...

A comprehensive guide to developing neural network-based solutions using TensorFlow 2.0 Key Features Understand the basics of machine learning and discover the power of neural networks and deep learning Explore the structure of the TensorFlow framework...

Demystify the complexity of machine learning techniques and create evolving, clever solutions to solve your problemsKey FeaturesMaster supervised, unsupervised, and semi-supervised ML algorithms and their implementation Build deep learning models for...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789388511926Author Amit AgrawalFormat PaperbackPage Count 180Imprint Bpb PublicationsPublisher Bpb PublicationsWeight(grams) 152g

Explore reinforcement learning (RL) techniques to build cutting-edge games using Python libraries such as PyTorch, OpenAI Gym, and TensorFlow Key Features Get to grips with the different reinforcement and DRL algorithms for game development Learn how to...

Apply modern reinforcement learning and deep reinforcement learning methods using Python and its powerful librariesKey FeaturesYour entry point into the world of artificial intelligence using the power of PythonAn example-rich guide to master various RL...

Build next-generation Artificial Intelligence systems with Java About This Book * Implement AI techniques to build smart applications using Deeplearning4j * Perform big data analytics to derive quality insights using Spark MLlib * Create...