generative model

generative modelの商品一覧です。「Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applica LARGE LANGUAGE MODEL-BASED SOL （Tech Today） [ Shreyas Subramanian ]」(￥11,440)や「洋書 Paperback, Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python」(￥9,925)、「Generative AI Models GENERATIVE AI MODELS [ Jovan Pehcevski ]」(￥54,560)など

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generative model

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applica LARGE LANGUAGE MODEL-BASED SOL （Tech Today） Shreyas Subramanian

洋書 Paperback, Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python

Generative AI Models GENERATIVE AI MODELS Jovan Pehcevski

【中古】【未使用未開封品】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

Deep Generative Models Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings【電子書籍】

Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs【電子書籍】 Ben Auffarth

Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications【電子書籍】 Shreyas Subramanian

Generative Social Science Studies in Agent-Based Computational Modeling【電子書籍】 Joshua M. Epstein

Advances in Deep Generative Models for Medical Artificial Intelligence【電子書籍】

Generative AI with Python and TensorFlow 2 Create images, text, and music with VAEs, GANs, LSTMs, Transformer models【電子書籍】 Joseph Babcock

Modern Generative AI with ChatGPT and OpenAI Models Leverage the capabilities of OpenAI 039 s LLM for productivity and innovation with GPT3 and GPT4【電子書籍】 Valentina Alto

Generative Adversarial Networks Projects Build next-generation generative models using TensorFlow and Keras【電子書籍】 Kailash Ahirwar

Applied Generative AI for Beginners Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs【電子書籍】 Akshay Kulkarni

Beam Test Calorimeter Prototypes for the CMS Calorimeter Endcap Upgrade Qualification, Performance Validation and Fast Generative Modelling【電子書籍】 Thorben Quast

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings【電子書籍】

Deep Learning with Theano Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models【電子書籍】 Christopher Bourez

Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models【電子書籍】 Vijaya Kumar Suda

洋書 Paperback, Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras

Generative AI Engineering, 1E Build apps with transformer and diffusion-based large and foundational models【電子書籍】 Konrad Banachewicz

Hands-On Generative Adversarial Networks with PyTorch 1.x Implement next-generation neural networks to build powerful GAN models using Python【電子書籍】 John Hany

Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applica LARGE LANGUAGE MODEL-BASED SOL （Tech Today） [ Shreyas Subramanian ]

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LARGE LANGUAGE MODELーBASED SOL Tech Today Shreyas Subramanian WILEY2024 Paperback English ISBN：9781394240722 洋書 Computers & Science（コンピューター＆科学） Computers

洋書 Paperback, Hands-On Generative Adversarial Networks with PyTorch 1.x: Implement next-generation neural networks to build powerful GAN models using Python

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価格￥9,925

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*** We ship internationally, so do not use a package forwarding service. We cannot ship to a package forwarding company address because of the Japanese customs regulation. If it is shipped and customs office does not let the package go, we do not make a refund. 【注意事項】 *** 特に注意してください。 *** ・個人ではない法人・団体名義での購入はできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。・お名前にカタカナが入っている場合法人である可能性が高いため当店システムから自動保留します。カタカナで記載が必要な場合はカタカナ変わりローマ字で記載してください。・お名前またはご住所が法人・団体名義（XX株式会社等）、商店名などを含めている場合、または電話番号が個人のものではない場合、税関から法人名義でみなされますのでご注意ください。・転送サービス会社への発送もできません。この場合税関で滅却されてもお客様負担になりますので御了承願います。 *** ・注文後品切れや価格変動でキャンセルされる場合がございますので予めご了承願います。・当店でご購入された商品は、原則として、「個...

Generative AI Models GENERATIVE AI MODELS [ Jovan Pehcevski ]

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GENERATIVE AI MODELS Jovan Pehcevski ARCLER PR2024 Hardcover English ISBN：9781774699201 洋書 Computers & Science（コンピューター＆科学） Computers

【中古】【未使用・未開封品】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras

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【中古】【未使用・未開封品】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras【メーカー名】【メーカー型番】【ブランド名】Packt Publishing Human Vision & Language Systems, Machine Learning, Machine Vision, Neural Networks, Theory of Computing, Paperback Store, Amazon Student ポイント還元(洋書), Amazonアプリキャンペーン対象商品(洋書), 洋書（アダルト除く） Ahirwar, Kailash: Author【商品説明】Generative Adversarial Networks Projects: Build next-generation generative models using TensorFlow and Keras【注意】こちらは輸入品となります。当店では初期不良に限り、商品到着から7日間は返品を受付けております。こちらは当店海外ショップで一般の方から買取した未使用・未開封品です。買取した為、中古扱いとしております。他モールとの併売品の為、完売の際はご連絡致しますのでご了承ください。ご注文からお届けまで1、ご注文⇒ご注文は24時間受け付けております。2、注文確認⇒ご注文後、当店から注文確認メールを送信します。3、当店海外倉庫から当店日本倉庫を経由しお...

Deep Generative Models Second MICCAI Workshop, DGM4MICCAI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings【電子書籍】

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価格￥6,685

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＜p＞This book constitutes the refereed proceedings of the Second MICCAI Workshop on Deep Generative Models, DG4MICCAI 2022, held in conjunction with MICCAI 2022, in September 2022. The workshops took place in Singapore.＜/p＞＜p＞DG4MICCAI 2022 accepted 12 papers from the 15 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.＜/p＞画面が切り替わりますので、しばらくお待ち下さい。 ※ご購入は、楽天kobo商品ページからお願いします。※切り替わらない場合は、こちらをクリックして下さい。 ※このページからは注文できません。

Generative AI with LangChain Build large language model (LLM) apps with Python, ChatGPT, and other LLMs【電子書籍】[ Ben Auffarth ]

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価格￥4,304

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＜p＞＜b＞Get to grips with the LangChain framework from theory to deployment and develop production-ready applications. Code examples regularly updated on GitHub to keep you abreast of the latest LangChain developments. Purchase of the print or Kindle book includes a free PDF eBook.＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn how to leverage LLMs’ capabilities and work around their inherent weaknesses＜/li＞＜li＞Delve into the realm of LLMs with LangChain and go on an in-depth exploration of their fundamentals, ethical dimensions, and application challenges＜/li＞＜li＞Get better at using ChatGPT and GPT models, from heuristics and training to scalable deployment, empowering you to transform ideas into reality＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞ChatGPT and the GPT models by OpenAI have brought about a revolution not only in how we write and research but also in how we can process information. This book discusses the functioning, capabilities, and limitations of LL...

Large Language Model-Based Solutions How to Deliver Value with Cost-Effective Generative AI Applications【電子書籍】[ Shreyas Subramanian ]

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価格￥5,980

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＜p＞＜strong＞Learn to build cost-effective apps using Large Language Models＜/strong＞＜/p＞＜p＞In ＜em＞Large Language Model-Based Solutions: How to Deliver Value with Cost-Effective Generative AI Applications＜/em＞, Principal Data Scientist at Amazon Web Services, Shreyas Subramanian, delivers a practical guide for developers and data scientists who wish to build and deploy cost-effective large language model (LLM)-based solutions. In the book, you'll find coverage of a wide range of key topics, including how to select a model, pre- and post-processing of data, prompt engineering, and instruction fine tuning.＜/p＞＜p＞The author sheds light on techniques for optimizing inference, like model quantization and pruning, as well as different and affordable architectures for typical generative AI (GenAI) applications, including search systems, agent assists, and autonomous agents. You'll also find:＜/p＞＜ul＞＜li＞Effective strategies to address the challenge of the high compu...

Generative Social Science Studies in Agent-Based Computational Modeling【電子書籍】[ Joshua M. Epstein ]

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価格￥6,944

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＜p＞Agent-based computational modeling is changing the face of social science. In ＜em＞Generative Social Science＜/em＞, Joshua Epstein argues that this powerful, novel technique permits the social sciences to meet a fundamentally new standard of explanation, in which one "grows" the phenomenon of interest in an artificial society of interacting agents: heterogeneous, boundedly rational actors, represented as mathematical or software objects. After elaborating this notion of generative explanation in a pair of overarching foundational chapters, Epstein illustrates it with examples chosen from such far-flung fields as archaeology, civil conflict, the evolution of norms, epidemiology, retirement economics, spatial games, and organizational adaptation. In elegant chapter preludes, he explains how these widely diverse modeling studies support his sweeping case for generative explanation.＜/p＞＜p＞This book represents a powerful consolidation of Epstein's interdisciplinary research a...

Advances in Deep Generative Models for Medical Artificial Intelligence【電子書籍】

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価格￥18,231

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＜p＞Generative Artificial Intelligence is rapidly advancing with many state-of-the-art performances on computer vision, speech processing, and natural language processing tasks. Generative adversarial networks and neural diffusion models can generate high-quality synthetic images of human faces, artworks, and coherent essays on different topics. Generative models are also transforming Medical Artificial Intelligence, given their potential to learn complex features from medical imaging and healthcare data. Hence, computer-aided diagnosis and healthcare are benefiting from Medical Artificial Intelligence and Generative Artificial Intelligence.＜/p＞＜p＞This book presents the recent advances in generative models for Medical Artificial Intelligence. It covers many applications of generative models for medical image data, including volumetric medical image segmentation, data augmentation, MRI reconstruction, and modeling of spatiotemporal medical data. This book highlights the recent ...

Generative AI with Python and TensorFlow 2 Create images, text, and music with VAEs, GANs, LSTMs, Transformer models【電子書籍】[ Joseph Babcock ]

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価格￥3,290

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＜p＞＜strong＞Fun and exciting projects to learn what artificial minds can create＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Code examples are in TensorFlow 2, which make it easy for PyTorch users to follow along＜/li＞＜li＞Look inside the most famous deep generative models, from GPT to MuseGAN＜/li＞＜li＞Learn to build and adapt your own models in TensorFlow 2.x＜/li＞＜li＞Explore exciting, cutting-edge use cases for deep generative AI＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Machines are excelling at creative human skills such as painting, writing, and composing music. Could you be more creative than generative AI?＜/p＞＜p＞In this book, you'll explore the evolution of generative models, from restricted Boltzmann machines and deep belief networks to VAEs and GANs. You'll learn how to implement models yourself in TensorFlow and get to grips with the latest research on deep neural networks.＜/p＞＜p＞There's been an explosion in potential use cases fo...

Modern Generative AI with ChatGPT and OpenAI Models Leverage the capabilities of OpenAI's LLM for productivity and innovation with GPT3 and GPT4【電子書籍】[ Valentina Alto ]

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価格￥4,540

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＜p＞＜strong＞Harness the power of AI with innovative, real-world applications, and unprecedented productivity boosts, powered by the latest advancements in AI technology like ChatGPT and OpenAI＜/strong＞＜/p＞＜p＞＜strong＞Purchase of the print or Kindle book includes a free PDF eBook＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Explore the theory behind generative AI models and the road to GPT3 and GPT4＜/li＞＜li＞Become familiar with ChatGPT's applications to boost everyday productivity＜/li＞＜li＞Learn to embed OpenAI models into applications using lightweight frameworks like LangChain＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Generative AI models and AI language models are becoming increasingly popular due to their unparalleled capabilities. This book will provide you with insights into the inner workings of the LLMs and guide you through creating your own language models. You'll start with an introduction to the field of generative AI, helping you un...

Generative Adversarial Networks Projects Build next-generation generative models using TensorFlow and Keras【電子書籍】[ Kailash Ahirwar ]

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価格￥3,858

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＜p＞＜strong＞Explore various Generative Adversarial Network architectures using the Python ecosystem＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Use different datasets to build advanced projects in the Generative Adversarial Network domain＜/li＞＜li＞Implement projects ranging from generating 3D shapes to a face aging application＜/li＞＜li＞Explore the power of GANs to contribute in open source research and projects＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞Generative Adversarial Networks (GANs) have the potential to build next-generation models, as they can mimic any distribution of data. Major research and development work is being undertaken in this field since it is one of the rapidly growing areas of machine learning. This book will test unsupervised techniques for training neural networks as you build seven end-to-end projects in the GAN domain.＜/p＞＜p＞Generative Adversarial Network Projects begins by covering the concepts, tools, and libraries th...

Applied Generative AI for Beginners Practical Knowledge on Diffusion Models, ChatGPT, and Other LLMs【電子書籍】[ Akshay Kulkarni ]

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価格￥6,076

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＜p＞This book provides a deep dive into the world of generative AI, covering everything from the basics of neural networks to the intricacies of large language models like ChatGPT and Google Bard. It serves as a one-stop resource for anyone interested in understanding and applying this transformative technology and is particularly aimed at those just getting started with generative AI.＜/p＞＜p＞＜em＞Applied Generative AI for Beginners＜/em＞ is structured around detailed chapters that will guide you from foundational knowledge to practical implementation. It starts with an introduction to generative AI and its current landscape, followed by an exploration of how the evolution of neural networks led to the development of large language models. The book then delves into specific architectures like ChatGPT and Google Bard, offering hands-on demonstrations for implementation using tools like Sklearn. You’ll also gain insight into the strategic aspects of implementing generative AI i...

Beam Test Calorimeter Prototypes for the CMS Calorimeter Endcap Upgrade Qualification, Performance Validation and Fast Generative Modelling【電子書籍】[ Thorben Quast ]

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価格￥19,447

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＜p＞In order to cope with the increased radiation level and the challenging pile-up conditions at High Luminosity-LHC, the CMS collaboration will replace its current calorimeter endcaps with the High Granularity Calorimeter (HGCAL) in the mid 2020s. This dissertation addresses two important topics related to the preparation of the HGCAL upgrade: experimental validation of its silicon- based design and fast simulation of its data.＜/p＞＜p＞Beam tests at the DESY (Hamburg) and the CERN SPS beam test facilities in 2018 have been the basis for the design validation. The associated experimental infrastructure, the algorithms deployed in the reconstruction of the recorded data, as well as the respective analyses are reported in this thesis: First, core components of the silicon-based prototype modules are characterised and it is demonstrated that the assembled modules are functional. In particular, their efficiency to detect minimum ionising particles (MIPs) traversing the silicon sens...

Deep Generative Models, and Data Augmentation, Labelling, and Imperfections First Workshop, DGM4MICCAI 2021, and First Workshop, DALI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, October 1, 2021, Proceedings【電子書籍】

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価格￥7,900

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＜p＞This book constitutes the refereed proceedings of the First MICCAI Workshop on Deep Generative Models, DG4MICCAI 2021, and the First MICCAI Workshop on Data Augmentation, Labelling, and Imperfections, DALI 2021, held in conjunction with MICCAI 2021, in October 2021. The workshops were planned to take place in Strasbourg, France, but were held virtually due to the COVID-19 pandemic.＜/p＞＜p＞DG4MICCAI 2021 accepted 12 papers from the 17 submissions received. The workshop focusses on recent algorithmic developments, new results, and promising future directions in Deep Generative Models. Deep generative models such as Generative Adversarial Network (GAN) and Variational Auto-Encoder (VAE) are currently receiving widespread attention from not only the computer vision and machine learning communities, but also in the MIC and CAI community.＜/p＞＜p＞For DALI 2021, 15 papers from 32 submissions were accepted for publication. They focus on rigorousstudy of medical data related to m...

Deep Learning with Theano Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models【電子書籍】[ Christopher Bourez ]

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価格￥4,540

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＜p＞＜strong＞Develop deep neural networks in Theano with practical code examples for image classification, machine translation, reinforcement agents, or generative models.＜/strong＞＜/p＞＜h2＞About This Book＜/h2＞＜ul＞＜li＞Learn Theano basics and evaluate your mathematical expressions faster and in an efficient manner＜/li＞＜li＞Learn the design patterns of deep neural architectures to build efficient and powerful networks on your datasets＜/li＞＜li＞Apply your knowledge to concrete fields such as image classification, object detection, chatbots, machine translation, reinforcement agents, or generative models.＜/li＞＜/ul＞＜h2＞Who This Book Is For＜/h2＞＜p＞This book is indented to provide a full overview of deep learning. From the beginner in deep learning and artificial intelligence, to the data scientist who wants to become familiar with Theano and its supporting libraries, or have an extended understanding of deep neural nets.＜/p＞＜p＞Some basic skills in ...

Data Labeling in Machine Learning with Python Explore modern ways to prepare labeled data for training and fine-tuning ML and generative AI models【電子書籍】[ Vijaya Kumar Suda ]

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価格￥4,304

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＜p＞＜b＞Take your data preparation, machine learning, and GenAI skills to the next level by learning a range of Python algorithms and tools for data labeling＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Generate labels for regression in scenarios with limited training data＜/li＞＜li＞Apply generative AI and large language models (LLMs) to explore and label text data＜/li＞＜li＞Leverage Python libraries for image, video, and audio data analysis and data labeling＜/li＞＜li＞Purchase of the print or Kindle book includes a free PDF eBook＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Data labeling is the invisible hand that guides the power of artificial intelligence and machine learning. In today’s data-driven world, mastering data labeling is not just an advantage, it’s a necessity. Data Labeling in Machine Learning with Python empowers you to unearth value from raw data, create intelligent systems, and influence the course of technological evolution. With this book, you'll discove...

洋書 Paperback, Generative Adversarial Networks Cookbook: Over 100 recipes to build generative models using Python, TensorFlow, and Keras

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Generative AI Engineering, 1E Build apps with transformer and diffusion-based large and foundational models【電子書籍】[ Konrad Banachewicz ]

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価格￥4,304

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＜p＞＜b＞Apply creativity and engineering to create apps with transformer and diffusion based large and foundational models Purchase of the print or Kindle book includes a free PDF eBook＜/b＞＜/p＞＜h2＞Key Features＜/h2＞＜ul＞＜li＞Learn with practical examples, code snippets, and use cases from a variety of generative AI applications＜/li＞＜li＞Conquer the core concepts and techniques of generative AI engineering＜/li＞＜li＞Get to grips with productionizing operational pipelines with generative AI＜/li＞＜/ul＞＜h2＞Book Description＜/h2＞Generative AI Engineering is a hands-on guide to utilizing generative AI for creating advanced AI based applications. It’s designed for both beginners and experienced practitioners who want to learn how to develop generative AI models-based applications and use them to solve real-world problems. As you progress through the chapters, you’ll cover all the core concepts and techniques of generative AI engineering, including transformer and diff...

Hands-On Generative Adversarial Networks with PyTorch 1.x Implement next-generation neural networks to build powerful GAN models using Python【電子書籍】[ John Hany ]

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価格￥3,290

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＜p＞＜strong＞Apply deep learning techniques and neural network methodologies to build, train, and optimize generative network models＜/strong＞＜/p＞＜h4＞Key Features＜/h4＞＜ul＞＜li＞Implement GAN architectures to generate images, text, audio, 3D models, and more＜/li＞＜li＞Understand how GANs work and become an active contributor in the open source community＜/li＞＜li＞Learn how to generate photo-realistic images based on text descriptions＜/li＞＜/ul＞＜h4＞Book Description＜/h4＞＜p＞With continuously evolving research and development, Generative Adversarial Networks (GANs) are the next big thing in the field of deep learning. This book highlights the key improvements in GANs over generative models and guides in making the best out of GANs with the help of hands-on examples.＜/p＞＜p＞This book starts by taking you through the core concepts necessary to understand how each component of a GAN model works. You'll build your first GAN model to understand how generato...

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