Price: $33.99
(as of Dec 26,2024 12:22:19 UTC – Details)
ASIN : B08LLDF377
Publisher : Packt Publishing; 1st edition (January 22, 2021)
Publication date : January 22, 2021
Language : English
File size : 51136 KB
Text-to-Speech : Enabled
Screen Reader : Supported
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 352 pages
Page numbers source ISBN : 1838821597
Customers say
Customers find the book provides a clear overview of BERT and simplifies many concepts for better understanding. It adds details and explanations beyond what is written in the research, making it a good starting point with many examples and applications. However, some customers report issues with the language, including unreadable superscripts, grammar and English mistakes, redundant language, and tiny text in figures.
AI-generated from the text of customer reviews
Are you interested in building and training state-of-the-art natural language processing models using Google BERT? Look no further! In this post, we will guide you through the process of getting started with Google BERT and show you how to create powerful NLP models.
Google BERT, which stands for Bidirectional Encoder Representations from Transformers, is a pre-trained language representation model that has taken the NLP world by storm. It is known for its ability to understand the context of words in a sentence and produce more accurate results in tasks such as question answering, sentiment analysis, and text classification.
To get started with Google BERT, you will first need to install the necessary libraries and tools, such as TensorFlow or PyTorch, and download the pre-trained BERT model. Once you have set up your environment, you can start fine-tuning the model on your own dataset to create a custom NLP model that suits your needs.
In this post, we will walk you through the steps of building and training a BERT model, from tokenizing and preprocessing your text data to fine-tuning the model and evaluating its performance. We will also provide tips and best practices for optimizing your BERT model and achieving the best results.
So, if you are ready to take your NLP skills to the next level and harness the power of Google BERT, stay tuned for our upcoming post on Getting Started with Google BERT!
#Started #Google #BERT #Build #train #stateoftheart #natural #language #processing #models #BERT
Leave a Reply