BOOKS - Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning for Natural Language Processing A Gentle Introduction - Mihai Surdeanu, Marco Antonio Valenzuela-Escarcega 2024 PDF Cambridge University Press BOOKS
ECO~15 kg CO²

1 TON

Views
22827

Telegram
 
Deep Learning for Natural Language Processing A Gentle Introduction
Author: Mihai Surdeanu, Marco Antonio Valenzuela-Escarcega
Year: 2024
Pages: 345
Format: PDF
File size: 83.1 MB
Language: ENG



Pay with Telegram STARS
''

You may also be interested in:

Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
Getting started with Deep Learning for Natural Language Processing Learn how to build NLP applications with Deep Learning
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning
Machine Learning and Deep Learning in Natural Language Processing
Machine Learning and Deep Learning in Natural Language Processing
Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning for Natural Language Processing: A Gentle Introduction
Deep Learning for Natural Language Processing A Gentle Introduction
Deep Learning for Natural Language Processing (MEAP Edition) +code
Real-World Natural Language Processing Practical applications with deep learning
Hands-On Natural Language Processing with PyTorch 1.x: Build smart, AI-driven linguistic applications using deep learning and NLP techniques
Representation Learning for Natural Language Processing
Transfer Learning for Natural Language Processing
Natural Language Processing for Beginners : Advanced Techniques and Applications in Natural Language Processing
Natural Language Processing (A Machine Learning Perspective)
Natural Language Processing with Spark NLP Learning to Understand Text at Scale
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Deep Learning Theory, Architectures and Applications in Speech, Image and Language Processing
Transformers for Natural Language Processing: Build innovative deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, RoBERTa, and more
Machine Learning for Emotion Analysis in Python: Build AI-powered tools for analyzing emotion using natural language processing and machine learning
IBM Watson Solutions for Machine Learning: Achieving Successful Results Across Computer Vision, Natural Language Processing and AI Projects Using Watson Cognitive Tools
Natural Language Processing in the Real World: Text Processing, Analytics, and Classification (Chapman and Hall CRC Data Science Series)
Natural Language Processing with Transformers Building Language Applications with Hugging Face
Natural Language Processing for Beginners Demystifying Language in the Digital Age
Natural Language Processing for Beginners Demystifying Language in the Digital Age
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Deep Learning for Multimedia Processing Applications Volume Two Signal Processing and Pattern Recognition
Natural Language Processing with Python Updated Edition From Basics to Advanced Projects Mastering Text Analysis, Machine Learning Models, and Chatbot Development (Mastering the AI Revolution)
Language Intelligence Expanding Frontiers in Natural Language Processing
A Course in Natural Language Processing
Natural Language Processing
A Course in Natural Language Processing
A Course in Natural Language Processing
Python for Natural Language Processing, 3E
Introduction to Natural Language Processing
Explainable Natural Language Processing
Deep Learning for Multimedia Processing Applications Volume 1 Image Security and Intelligent Systems for Multimedia Processing
Deep Learning for Multimedia Processing Applications Volume 1 Image Security and Intelligent Systems for Multimedia Processing
Natural Language Processing using R Pocket Primer
Natural Language Processing for Software Engineering