Bert gollnick (28 Ergebnisse)

Paperback. Zustand: Good. PyTorch is the framework for deep learning--so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You'll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models--all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need!Highlights: 1) Deep learning2) Linear regression3) Classification4) Computer vision5) Recommendation systems6) Autoencoders7) Graph neural networks (GNNs)8) Time series predictions9) Language models10) Pretrained networks11) Evaluation and deployment12) PyTorch Lightning. …

Paperback. Zustand: Very Good. PyTorch is the framework for deep learning--so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You'll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models--all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need!Highlights: 1) Deep learning2) Linear regression3) Classification4) Computer vision5) Recommendation systems6) Autoencoders7) Graph neural networks (GNNs)8) Time series predictions9) Language models10) Pretrained networks11) Evaluation and deployment12) PyTorch Lightning. …

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. new edition. 392 pages. 10.00x7.00x10.00 inches. In Stock.

Paperback. Zustand: Brand New. new edition. 416 pages. 10.00x7.00x1.00 inches. In Stock.

Zustand: New.

HRD. Zustand: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Zustand: Brand New. new edition. 392 pages. 10.00x7.00x10.00 inches. In Stock.

Zustand: as new. Wie neu/Like new.

Taschenbuch. Zustand: Neu. Neuware - Your guide to generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs-and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master!Highlights:1) Natural language processing (NLP) models2) Large language models (LLMs)3) Pretrained models4) Prompt engineering5) Vector databases6) Retrieval-augmented generation (RAG)7) Agentic systems8) OpenAI9) LangChain10) Hugging Face11) crewAI12) AG2.…

Zustand: New. 2026. paperback. . . . . . Books ship from the US and Ireland.

paperback. Zustand: New.

Zustand: New.

Taschenbuch. Zustand: Neu. Neuware -PyTorch is the framework for deep learning-so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You'll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models-all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need!Highlights:1) Deep learning2) Linear regression3) Classification4) Computer vision5) Recommendation systems6) Autoencoders7) Graph neural networks (GNNs)8) Time series predictions9) Language models10) Pretrained networks11)Evaluation and deployment12)PyTorch LightningRheinwerk Publishing, Inc., 2 Heritage Drive, 2171 Quincy 415 pp. Englisch. …

Taschenbuch. Zustand: Neu. Neuware -Your guide to generative AI with Python is here! Start with an introduction to generative AI, NLP models, LLMs, and LMMs-and then dive into pretrained models with Hugging Face. Work with LLMs using Python with the help of tools like OpenAI and LangChain. Get step-by-step instructions for working with vector databases and using retrieval-augmented generation. With information on agentic systems and AI application deployment, this guide gives you all you need to become an AI master!Highlights:1) Natural language processing (NLP) models2) Large language models (LLMs)3) Pretrained models4) Prompt engineering5) Vector databases6) Retrieval-augmented generation (RAG)7) Agentic systems8) OpenAI9) LangChain10) Hugging Face11) crewAI12) AG2Rheinwerk Publishing, Inc., 2 Heritage Drive, 2171 Quincy 392 pp. Englisch.…

Taschenbuch. Zustand: Neu. Neuware - PyTorch is the framework for deep learning-so dive on in! Learn how to train, optimize, and deploy AI models with PyTorch by following practical exercises and example code. You'll walk through using PyTorch for linear regression, classification, image processing, recommendation systems, autoencoders, graph neural networks, time series predictions, and language models-all the essentials. Then evaluate and deploy your models using key tools like MLflow, TensorBoard, and FastAPI. With information on fine-tuning your models using HuggingFace and reducing training time with PyTorch Lightning, this practical guide is the one you need!Highlights:1) Deep learning2) Linear regression3) Classification4) Computer vision5) Recommendation systems6) Autoencoders7) Graph neural networks (GNNs)8) Time series predictions9) Language models10) Pretrained networks11)Evaluation and deployment12)PyTorch Lightning. …

Taschenbuch. Zustand: Neu. Generative AI with Python | The Developer's Guide to Pretrained LLMs, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems | Bert Gollnick | Taschenbuch | 392 S. | Englisch | 2025 | Rheinwerk Verlag GmbH | EAN 9781493226900 | Verantwortliche Person für die EU: Rheinwerk, Rheinwerkallee 4, 53227 Bonn, service[at]rheinwerk-verlag[dot]de | Anbieter: preigu.…

Taschenbuch. Zustand: Neu. PyTorch | The Practical Guide | Bert Gollnick | Taschenbuch | Englisch | 2026 | Rheinwerk Verlag GmbH | EAN 9781493227860 | Verantwortliche Person für die EU: Rheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn, service[at]rheinwerk-verlag[dot]de | Anbieter: preigu.

Hardcover. Zustand: Brand New. 510 pages. German language. 7.13x1.18x9.53 inches. In Stock.

hardcover. Zustand: New.

Zustand: New.

hardcover. Zustand: Gut. 447 Seiten; 9783367111299.3 Gewicht in Gramm: 2.

hardcover. Zustand: Sehr gut. 447 Seiten; 9783367111299.2 Gewicht in Gramm: 2.

Buch. Zustand: Neu. Neuware -Ihr Guide für eigene RAG-Anwendung!Freuen Sie sich auf einen umfassenden Einstieg in die Welt der Generativen KI mit Python. Dieses Buch deckt Schlüsselkonzepte wie Large Language Models (LLMs), LangChain, Vektordatenbanken und Retrieval-Augmented-Generation (RAG) ab. Sie lernen die Grundlagen des Prompt Engineering kennen und erfahren, wie Sie Agentensysteme entwickeln und deployen.Mit praxisnahen Beispielen und klaren Erklärungen tauchen Sie tief in die Materie ein - ideal für alle, die Generative KI-Lösungen mit Python umsetzen wollen.- Generative KI und LLMs mit LangChain verstehen und implementieren- Vektordatenbanken und RAG-Anwendungen entwickeln- Prompt Engineering, Agentensysteme, Deployment u. v. m.Aus dem Inhalt:- Große Sprachmodelle - LLMs und LMMs- Prompt Engineering- Sprachanalyse (NLP)- Vektordatenbanken- LangChain- HuggingFace- crewAI- AutoGen- OpenAI- und andere APIs- Agentensysteme- DeploymentRheinwerk Verlag GmbH, Rheinwerkallee 4, 53227 Bonn 447 pp. Deutsch. …

Buch. Zustand: Neu. Neuware - Ihr Guide für eigene RAG-Anwendung!Freuen Sie sich auf einen umfassenden Einstieg in die Welt der Generativen KI mit Python. Dieses Buch deckt Schlüsselkonzepte wie Large Language Models (LLMs), LangChain, Vektordatenbanken und Retrieval-Augmented-Generation (RAG) ab. Sie lernen die Grundlagen des Prompt Engineering kennen und erfahren, wie Sie Agentensysteme entwickeln und deployen.Mit praxisnahen Beispielen und klaren Erklärungen tauchen Sie tief in die Materie ein - ideal für alle, die Generative KI-Lösungen mit Python umsetzen wollen.Generative KI und LLMs mit LangChain verstehen und implementierenVektordatenbanken und RAG-Anwendungen entwickelnPrompt Engineering, Agentensysteme, Deployment u. v. m.Aus dem Inhalt:Große Sprachmodelle - LLMs und LMMsPrompt EngineeringSprachanalyse (NLP)VektordatenbankenLangChainHuggingFacecrewAIAutoGenOpenAI- und andere APIsAgentensystemeDeployment. …

Zustand: gut. Generative KI mit Python In deutscher Sprache. pages.

Zustand: gut. PyTorch In deutscher Sprache. pages.