Related Books
Language: en
Pages: 262
Pages: 262
Type: BOOK - Published: 2021-08-31 - Publisher: Simon and Schuster
Build custom NLP models in record time by adapting pre-trained machine learning models to solve specialized problems. Summary In Transfer Learning for Natural L
Language: en
Pages: 455
Pages: 455
Type: BOOK - Published: 2020-06-17 - Publisher: O'Reilly Media
Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and sc
Language: en
Pages: 430
Pages: 430
Type: BOOK - Published: 2018-08-31 - Publisher: Packt Publishing Ltd
Deep learning simplified by taking supervised, unsupervised, and reinforcement learning to the next level using the Python ecosystem Key Features Build deep lea
Language: en
Pages: 334
Pages: 334
Type: BOOK - Published: 2021-12-14 - Publisher: Simon and Schuster
Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is wri
Language: en
Pages: 394
Pages: 394
Type: BOOK - Published: 2020-02-13 - Publisher: Cambridge University Press
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability t