Bert gollnick (77 risultati)

Paperback. Condizione: 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. Condizione: 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. …

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Paperback or Softback. Condizione: New. Pytorch: The Practical Guide. Book.

Paperback or Softback. Condizione: New. Generative AI with Python: The Developer's Guide to Pretrained Llms, Vector Databases, Retrieval-Augmented Generation, and Agentic Systems. Book.

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Paperback. Condizione: new. Paperback. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Condizione: new. Paperback. 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 Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

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