Neural Networks

With Math for Deep Learning, you'll learn the essential mathematics used by and as a background for deep learning. You'll work through Python examples to learn key deep learning related topics in probability, statistics, linear algebra, differential...

Build machine and deep learning systems with the newly released TensorFlow 2 and Keras for the lab, production, and mobile devicesKey FeaturesIntroduces and then uses TensorFlow 2 and Keras right from the startTeaches key machine and deep learning...

Build previously impossible applications using graph data and become an expert in graph neural networks Key Features * Learn the fundamentals of graph theory for data science and machine learning * Implement state-of-the-art graph neural network...

Self-driving cars, natural language recognition, and online recommendation engines are all possible thanks to Machine Learning. Now you can create your own genetic algorithms, nature-inspired swarms, Monte Carlo simulations, cellular automata, and...

Master advanced techniques and algorithms for machine learning with PyTorch using real-world examples Updated for PyTorch 2.x, including integration with Hugging Face, mobile deployment, diffusion models, and graph neural networks Purchase of the...

This modern and self-contained book offers a clear and accessible introduction to the important topic of machine learning with neural networks. In addition to describing the mathematical principles of the topic, and its historical evolution, strong...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781950922512Author Neil WilkinsFormat PaperbackPage Count 114Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 177gDimensions(mm) 229mm...

Take the next steps toward mastering deep learning, the machine learning method that's transforming the world around us by the second. In this practical book, you'll get up to speed on key ideas using Facebook's open source PyTorch framework and gain the...

- The author is one of the most influential AI reseachers of recent decades.- Written in an accessible language, the book provides a probing account of AI today and proposes a new narrative to connect and make sense of events that happened in the recent...

ONE OF THE SUNDAY TIMES' BUSINESS BOOKS OF THE YEAR Technology is putting our humanity at risk to an unprecedented degree. This book is not for engineers who write the code or the policy makers who claim they can regulate it. This is a book for you...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262511117Author James A. AndersonFormat PaperbackPage Count 448Imprint Bradford BooksPublisher MIT Press LtdWeight(grams) 930gDimensions(mm) 251mm *...

- the author is in the BIMA Hall of Fame and is Chief Technology & Innovation Officer at Ernst & Young - the book explains the current state of AI and how it is governed, as well as detailing five potential futures involving AI and providing a clear...

Get hands-on experience in using TensorFlow and PyTorch to solve complex real-world business and industry problems using reinforcement learning algorithms and techniques Key Features * Apply reinforcement learning to a variety of domains including games,...

The goal of this book is to present a unified mathematical treatment of diverse problems in mathematics, physics, computer science, and engineer ing using geometric algebra. Geometric algebra was invented by William Kingdon Clifford in 1878 as a...

With the resurgence of neural networks in the 2010s, deep learning has become essential for machine learning practitioners and even many software engineers. This book provides a comprehensive introduction for data scientists and software engineers with...

Companies are spending billions on machine learning projects, but it's money wasted if the models can't be deployed effectively. In this practical guide, Hannes Hapke and Catherine Nelson walk you through the steps of automating a machine learning...

Design systems optimized for deep learning models. Written for software engineers, this book teaches you how to implement a maintainable platform for developing deep learning models. In Engineering Deep Learning Systems you will learn how...

Understand the fundamentals and develop your own AI solutions in this updated edition packed with many new examplesKey FeaturesAI-based examples to guide you in designing and implementing machine intelligenceBuild machine intelligence from scratch using...

Implement state-of-the-art deep reinforcement learning algorithms using Python and its powerful librariesKey FeaturesImplement Q-learning and Markov models with Python and OpenAIExplore the power of TensorFlow to build self-learning modelsEight AI...

Edge AI is transforming the way computers interact with the real world, allowing IoT devices to make decisions using the 99% of sensor data that was previously discarded due to cost, bandwidth, or power limitations. With techniques like embedded machine...

Deep Learning for Complete Beginners: A Python-Based Introduction is for complete beginners in machine learning. It introduces fundamental concepts such as classes and labels, building a dataset, and what a model is and does before presenting classic...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9789388590877Author Mugesh S.Format PaperbackPage Count 336Imprint Orange Education Pvt LtdPublisher Orange Education Pvt Ltd

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists and ML engineers will learn how to bridge the gap between data science and Lean software delivery in a...

Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable. With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites. In this guide, author Gant Laborde--Google...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781734467505Author Nick PsarisFormat PaperbackPage Count 416Imprint Vector SIGMAPublisher Vector SIGMAWeight(grams) 712gDimensions(mm) 235mm * 191mm * 22mm

With demand for scaling, real-time access, and other capabilities, businesses need to consider building operational machine learning pipelines. This practical guide helps your company bring data science to life for different real-world MLOps scenarios...

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 do I begin? This step-by-step guide teaches you...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781788360791Author Rupert RobsonFormat PaperbackImprint Imprint AcademicPublisher Imprint AcademicWeight(grams) 400gDimensions(mm) 235mm * 156mm * 17mm

Enhance your writing with AI by mastering prompt engineering techniques and become an expert in developing and utilizing LLM prompts across applications Key Features Master prompt engineering techniques to harness AI's writing potential Discover diverse...

Transformers are becoming a core part of many neural network architectures, employed in a wide range of applications such as NLP, Speech Recognition, Time Series, and Computer Vision. Transformers have gone through many adaptations and alterations,...

A critical examination of the figure of the neural network as it mediates neuroscientific and computational discourses and technical practicesNeural Networks proposes to reconstruct situated practices, social histories, mediating techniques, and...

Leverage Python source code to revolutionize your short selling strategy and to consistently make profits in bull, bear, and sideways marketsKey FeaturesUnderstand techniques such as trend following, mean reversion, position sizing, and risk management...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9781647482671Author Neil WilkinsFormat PaperbackPage Count 226Imprint Bravex PublicationsPublisher Bravex PublicationsWeight(grams) 336gDimensions(mm) 229mm...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780971732117Author Howard B DemuthFormat PaperbackPage Count 802Imprint Martin HaganPublisher Martin HaganWeight(grams) 1352gDimensions(mm) 235mm * 191mm *...

This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling...

Get to grips with deep learning techniques for building image processing applications using PyTorch with the help of code notebooks and test questionsKey FeaturesImplement solutions to 50 real-world computer vision applications using PyTorchUnderstand...

Based on interdisciplinary research into "Directional Change", a new data-driven approach to financial data analysis, Detecting Regime Change in Computational Finance: Data Science, Machine Learning and Algorithmic Trading applies machine learning to...

Become an AI language understanding expert by mastering the quantum leap of Transformer neural network model Key Features * Build and implement state-of-the-art language models, such as the original Transformer, BERT, T5, and GPT-2, using concepts that...

Finance students and practitioners may ask: can machines learn everything? Could AI help me? Computing students or practitioners may ask: which of my skills could contribute to finance? Where in finance should I pay attention? This book aims to answer...

Apologies but we at Booksplease don't have a full description for this book.Book InformationISBN 9780262544030Author John M. BeggsFormat PaperbackPage Count 224Imprint MIT PressPublisher MIT Press Ltd