Python for Natural Language Processing
Programming with NumPy, scikit-learn, Keras, and PyTorch
- 548 pages
- 20 hours of reading
Recent advancements in Natural Language Processing have transformed it into a vital industrial tool, garnering significant media attention beyond academia. This revised edition updates readers on groundbreaking developments in Text Generation and explores key models and architectures that have driven progress in the field. The author provides insights into how these innovations have been integrated into various industries, reflecting the growing importance of text processing in contemporary applications.
