Transformer Models and BERT Model From Google Cloud (Free Online Course) : Transformer models have fundamentally transformed the field of natural language processing (NLP) by enabling machines to understand and generate human language with unprecedented accuracy. Introduced in the groundbreaking paper “Attention is All You Need” by Vaswani et al. in 2017, the Transformer architecture utilizes self-attention mechanisms to process input data in parallel, allowing for more efficient training and improved contextual understanding compared to traditional models.
What You Will Learn?
| Understand the main components of the Transformer architecture. |
| Learn how a BERT model is built using Transformers. |
| Use BERT to solve different natural language processing (NLP) tasks. |
Concepts Covered in the Course
Module 1 – Transformer Models and BERT Model: Overview
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Coursera Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE & Start Learning
Once you’re logged in, select the “Enroll Now” option to begin the enrollment process. Review the course details, including the syllabus, duration, and any prerequisites.
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