A.V. - Neural Networks 1

Optimum - Python Power - Series III: Unleashing the Potential of Data Science with Libraries Welcome to Optimum - Python Power - Series III, where we embark on an exciting journey into the vast pote……続きを見る

This is a primer written for computer architects in the new and rapidly evolving field of deep learning. It reviews how machine learning has evolved since its inception in the 1960s and tracks the k……続きを見る

This ebook explores the evolving relationship between artificial intelligence, automation, and the workforce as we approach 2025. It delves into the potential impact of AI on various industries, ide……続きを見る

Mastering AI: A Beginner's Guide to Generative and Machine Learning Welcome to "Mastering AI: A Beginner's Guide to Generative and Machine Learning." This book is designed to be your comprehensive i……続きを見る

An Introduction to Universal Artificial Intelligence provides the formal underpinning of what it means for an agent to act intelligently in an unknown environment. First presented in Universal Algor……続きを見る

Will humanity be on its last legs? What does an AI think about AI, robotics, humanity, and the future? Who knows, maybe one day we'll be working side by side with a robot co-worker, swapping jokes a……続きを見る

Generative AI is the hottest topic in tech. This practical book teaches machine learning engineers and data scientists how to use TensorFlow and Keras to create impressive generative deep learning m……続きを見る

Gain the valuable skills and techniques you need to accelerate the delivery of machine learning solutions. With this practical guide, data scientists, ML engineers, and their leaders will learn how ……続きを見る

MACHINE LEARNING FOR BUSINESS ANALYTICS Machine learning ーalso known as data mining or data analyticsー is a fundamental part of data science. It is used by organizations in a wide variety of arena……続きを見る

Prediction in Medicine: The Impact of Machine Learning on Healthcare explores the transformative power of advanced data analytics and machine learning in healthcare. This comprehensive guide covers ……続きを見る

Questo libro esplora in modo accessibile il mondo del Metaverso, spiegando cos’è, come si è evoluto e quali tecnologie lo rendono possibile. Attraverso un linguaggio chiaro e comprensibile, l’autore……続きを見る

Finance Transformation: Leadership on Digital Transformation and Disruptive Innovationis a general and wide-ranging survey of finance transformation and emerging technologies. Finance and IT have lo……続きを見る

Master GenAI techniques to create images and text using variational autoencoders (VAEs), generative adversarial networks (GANs), LSTMs, and large language models (LLMs)Key FeaturesImplement real-wor……続きを見る

Python开源社区资深供稿人撰写 文本分析实用指南 计算语言学领域为数不多的作品之一 技术实用性强 侧重于技术细节的实现 提供源码下载Key Features平衡了理论与实战案例之间的关系在掌握理论知识的同时，执运行自……続きを見る

使用TensorFlow和Keras实现高级深度学习和神经网络模型Key Features快速掌握知识点用实操夯实迁移学习理论掌握实用技能Book Description迁移学习是机器学习技术的一种，它可以从一系列机器学习问题的训练中获得知……続きを見る

Most intermediate-level machine learning books focus on how to optimize models by increasing accuracy or decreasing prediction error. But this approach often overlooks the importance of understandin……続きを見る

Learn how to deploy effective deep learning solutions on cross-platform applications built using TensorFlow Lite, ML Kit, and Flutter Key Features Work through projects covering mobile vision, styl……続きを見る

Explore over 110 recipes to analyze data and build predictive models with simple and easy-to-use R code About This Book Apply R to simplify predictive modeling with short and simple code Use machin……続きを見る

This book offers in-depth reviews of different techniques and novel approaches of using blockchain and artificial intelligence in smart healthcare services. The volume brings 14 reviews and research……続きを見る

Best Book on GAN This book aims at simplifying GAN for everyone. This book is very important for machine learning engineers, researchers, students, professors, and professionals. Universities and on……続きを見る

Work with Python and powerful open source tools such as Gensim and spaCy to perform modern text analysis, natural language processing, and computational linguistics algorithms. About This Book • Dis……続きを見る

This edition is heavily outdated and we have a new edition with PyTorch examples published!Key FeaturesCode examples are in TensorFlow 2, which make it easy for PyTorch users to follow alongLook ins……続きを見る

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 sci……続きを見る

Deep learning has achieved impressive results in image classification, computer vision, and natural language processing. To achieve better performance, deeper and wider networks have been designed, ……続きを見る

Are you looking for innovative ways to transform your prompt engineering projects?! Look no further than ChatGPT - the powerful natural language processing tool that's taking the world by storm. In ……続きを見る

The book aims to provide a deeper understanding of the synergistic impact of Artificial intelligence (AI) and the Internet of Things (IoT) for disease detection. It presents a collection of topics d……続きを見る

Explore the inner workings of AI along with its limitations and future developments and create your first transparent and trustworthy neuro-symbolic AI system Purchase of the print or Kindle book in……続きを見る

Mathematical Codebook to Navigate Through the Fast-changing AI Landscape KEY FEATURES ● Access to industry-recognized AI methodology and deep learning mathematics with simple-to-understand examples.……続きを見る

The world is on the verge of fully ushering in the fourth industrial revolution, of which artificial intelligence (AI) is the most important new general-purpose technology. Like the steam engine tha……続きを見る

Discover the use of graph networks to develop a new approach to data science using theoretical and practical methods with this expert guide using Python, printed in color Key Features Create networ……続きを見る