Natural Language Processing with PyTorch by Delip Rao

Natural Language Processing with PyTorch

Author: Delip Rao
Binding: Paperback
Paper Quality: White Paper
Category: Artificial Intelligence / Machine Learning / Natural Language Processing
Recommended For: Data scientists, NLP practitioners, AI researchers, students, and developers interested in building deep learning NLP models using PyTorch.

Key Points

• Hands-On NLP with PyTorch – A practical guide to building real-world NLP applications using the PyTorch deep learning framework.

• Covers Core NLP Tasks – Includes in-depth coverage of tasks like text classification, language modeling, sequence labeling, machine translation, and more.

• End-to-End Projects – Walks readers through complete NLP projects, enabling them to understand the full pipeline from data preprocessing to model evaluation.

• PyTorch Implementation – Provides clear, annotated code examples that demonstrate how to implement NLP models using PyTorch.

• Deep Learning Foundations – Explains key deep learning concepts such as RNNs, LSTMs, GRUs, and attention mechanisms as applied to NLP.

• Real-World Applications – Focuses on practical use cases such as sentiment analysis, named entity recognition, and chatbot development.

• Beginner-Friendly Approach – Designed for readers with a basic understanding of Python and machine learning, progressing to advanced NLP concepts.