Course description
Learn BERT – most powerful NLP algorithm by Google is a complete course to understand Google’s NLP algorithm and apply it to real world problems. We cover the history of BERT from its origins and explain each concept in detail so that anyone can follow and finish the course mastering this advanced NLP algorithm, even if you are new to the subject. Learn the concepts behind a new BERT, get rid of RNNs, CNNs and other deep learning models to implement a more intuitive way of processing language that suits a wide range of NLP goals, including yours! We have designed this course using the latest technologies, using Tensorflow 2.0 and Google Colab, and we assure you that you have no issues with your machine version/software/locale compatibility and that you are using the most up-to-date tools.
What you will learn in this course:
- Understand the history of BERT and why NLP has changed more than any algorithm in recent years
- Understand how BERT differs from other standard algorithms and is closer to how humans process language
- Use the markup tools provided with BERT for efficient preprocessing of textual data
- Use the BERT layer as an embedding to connect it to your NLP model
- Use BERT as a pre-trained model and then tune it to get the most out of it
- And …
Who is this course suitable for?
- AI amateurs who are eager to learn how NLP research has evolved over the years and how BERT is changing everything.
- AI students who need a deeper knowledge of the latest NLP techniques
- People who drive business and want to know how to optimize NLP solutions for using text data
- Anyone who wants to start a new career in NLP and gain solid knowledge of advanced algorithm in this field and add efficient ones to their portfolio.
Course specifications :
Headlines of the 2022/4 period:
Course prerequisites:
- Basic Python and Tensorflow knowledge
- Basic Mathematics knowledge (high school level)
Images Learn BERT – most powerful NLP algorithm by Google
Sample video
Installation guide
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English subtitle
Quality: 720p
download link
Password file(s): www.downloadly.ir
Size
1.3 GB
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