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Natural Language Processing with Attention Models

Name: Natural Language Processing with Attention Models
Price: 49 USD
Availability: InStock

Stanford University

About this course

In Course 4 of the Natural Language Processing Specialization, you will: a) Translate complete English sentences into Portuguese using an encoder-decoder attention model, b) Build a Transformer model to summarize text, c) Use T5 and BERT models to perform question-answering. By the end of this Specialization, you will have designed NLP applications that perform question-answering and sentiment analysis, and created tools to translate languages and summarize text! Learners should have a working knowledge of machine learning, intermediate Python including experience with a deep learning framework (e.g., TensorFlow, Keras), as well as proficiency in calculus, linear algebra, and statistics. Please make sure that you’ve completed course 3 - Natural Language Processing with Sequence Models - before starting this course. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.

90/100

CourseAsk score

What the provider tells you: 39/45
Who stands behind it: 35/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

translate English to Portuguese using an encoder-decoder attention model
build a Transformer model for text summarization
utilize T5 and BERT models for question-answering applications

Course objectives

design NLP applications for question-answering and sentiment analysis
create tools for language translation and text summarization

Machine Learning Artificial Intelligence Deep Learning #deep learning #python #machine learning #nlp #sentiment analysis #text summarization #tensorflow #question answering #keras #bert #t5 #encoder-decoder #transformer #attention models

$49.00

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