Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo by Rothman, Denis
Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo by Rothman, Denis

Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse,...
HK$744.46
HK$744.46
SKU: 9781803247335
Product Type: Books
Please hurry! Only 570 left in stock
Author: Denis Rothman
Format: Paperback
Language: English
Subtotal: $744.46
10 customers are viewing this product
Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo by Rothman, Denis

Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo

$744.46
Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo by Rothman, Denis

Transformers for Natural Language Processing - Second Edition: Build, train, and fine-tune deep neural network architectures for NLP with Python, PyTo

$744.46
Author: Denis Rothman
Format: Paperback
Language: English
Description

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP


Key Features:

  • Implement models, such as BERT, Reformer, and T5, that outperform classical language models
  • Compare NLP applications using GPT-3, GPT-2, and other transformers
  • Analyze advanced use cases, including polysemy, cross-lingual learning, and computer vision


Book Description:

Transformers are a game-changer for natural language understanding (NLU) and have become one of the pillars of artificial intelligence.


Transformers for Natural Language Processing, 2nd Edition, investigates deep learning for machine translations, speech-to-text, text-to-speech, language modeling, question-answering, and many more NLP domains with transformers.


An Industry 4.0 AI specialist needs to be adaptable; knowing just one NLP platform is not enough anymore. Different platforms have different benefits depending on the application, whether it's cost, flexibility, ease of implementation, results, or performance. In this book, we analyze numerous use cases with Hugging Face, Google Trax, OpenAI, and AllenNLP.


This book takes transformers' capabilities further by combining multiple NLP techniques, such as sentiment analysis, named entity recognition, and semantic role labeling, to analyze complex use cases, such as dissecting fake news on Twitter. Also, see how transformers can create code using just a brief description.


By the end of this NLP book, you will understand transformers from a cognitive science perspective and be proficient in applying pretrained transformer models to various datasets.



What You Will Learn:

  • Discover new ways of performing NLP techniques with the latest pretrained transformers
  • Grasp the workings of the original Transformer, GPT-3, BERT, T5, DeBERTa, and Reformer
  • Find out how ViT and CLIP label images (including blurry ones!) and reconstruct images using DALL-E
  • Carry out sentiment analysis, text summarization, casual language analysis, machine translations, and more using TensorFlow, PyTorch, and GPT-3
  • Measure the productivity of key transformers to define their scope, potential, and limits in production


Who this book is for:

If you want to learn about and apply transformers to your natural language (and image) data, this book is for you.

A good understanding of NLP, Python, and deep learning is required to benefit most from this book. Many platforms covered in this book provide interactive user interfaces, which allow readers with a general interest in NLP and AI to follow several chapters of this book.

Author: Denis Rothman
Publisher: Packt Publishing
Published: 03/25/2022
Pages: 564
Binding Type: Paperback
Weight: 2.11lbs
Size: 9.25h x 7.50w x 1.14d
ISBN: 9781803247335

This title is not returnable

Shipping & Return

Returns Policy

You may return most new, unopened items within 30 days of delivery for a full refund. We'll also pay the return shipping costs if the return is a result of our error (you received an incorrect or defective item, etc.).

You should expect to receive your refund within four weeks of giving your package to the return shipper, however, in many cases you will receive a refund more quickly. This time period includes the transit time for us to receive your return from the shipper (5 to 10 business days), the time it takes us to process your return once we receive it (3 to 5 business days), and the time it takes your bank to process our refund request (5 to 10 business days).

If you need to return an item, simply login to your account, view the order using the "Complete Orders" link under the My Account menu and click the Return Item(s) button. We'll notify you via e-mail of your refund once we've received and processed the returned item.

Shipping

We can ship to virtually any address in the world. Note that there are restrictions on some products, and some products cannot be shipped to international destinations.

When you place an order, we will estimate shipping and delivery dates for you based on the availability of your items and the shipping options you choose. Depending on the shipping provider you choose, shipping date estimates may appear on the shipping quotes page.

Please also note that the shipping rates for many items we sell are weight-based. The weight of any such item can be found on its detail page. To reflect the policies of the shipping companies we use, all weights will be rounded up to the next full pound.

Review

Related Products

Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46
Example product title
HK$744.46
HK$744.46

Recently Viewed Products