Neural Machine Translation

Deep learning is revolutionizing how machine translation systems are built today. This introduction to machine translation starts from the basics of neural network methods and reaches the state of the art, while giving illuminating historical, linguistic, and applied context. Code examples in Python give a hands-on blueprint for implementation.

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Editie: Hardcover

Nr. pagini: 406

Cod: BRT9781108497329

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Neural Machine Translation

De (autor): Philipp Koehn

Neural Machine Translation

De (autor): Philipp Koehn

Descrierea produsului

S-ar putea sa-ti placa si

Transformers for Machine Learning: A Deep Dive - Uday Kamath

Deep Learning for Natural Language Processing - Stephan Raaijmakers

Natural Language Processing: A Machine Learning Perspective - Yue Zhang

A Generative Journey to AI: Mastering the foundations and frontiers of generative deep learning (English Edition) - Toni Ramchandani

Learning Langchain: Building AI and LLM Applications with Langchain and Langgraph - Mayo Oshin

Inteligência Artificial: A Breve História da Aprendizagem Profunda, Algoritmos, Processamento de Linguagem Natural, Redes Neurais Artificiais e - John K Burchfield

Natural Language Processing in the Real World: Text Processing, Analytics, and Classification - Jyotika Singh

Natural Language Processing with Transformers, Revised Edition - Lewis Tunstall

Transformer, Bert, and Gpt: Including Chatgpt and Prompt Engineering - Oswald Campesato

Practical Natural Language Processing: A Comprehensive Guide to Building Real-World Nlp Systems - Sowmya Vajjala

Understanding Large Language Models: A Guide to Transformer Architectures and NLP Applications - Anand Vemula

Mastering Transformers - Second Edition: The Journey from BERT to Large Language Models and Stable Diffusion - Savaş Yıldırım

Introduction to Tensor Computing in Python: From First Principles to Deep Learning - Manal Helal

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT and other LLMs - Ben Auffarth

Beginning Prompt Engineering: Learning to communicate with Large Language Models - Chris Jordan

Large Language Models Graph RAG: A Hands-On Guide to Knowledge Graph Integration with LLMs - Morgan Devline

The Power of Natural Language Processing - Sb Wade

Natural Language Processing in Action - Hapke Hannes

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