Machine Learning Models: What They Are and How to Build Them
December 19, 2024
Article
This course is part of Natural Language Processing Specialization
Instructors: Younes Bensouda Mourri
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(1,032 reviews)
Recommended experience
Intermediate level
We recommend the first three courses of the Natural Language Processing Specialization.
(1,032 reviews)
Recommended experience
Intermediate level
We recommend the first three courses of the Natural Language Processing Specialization.
Use encoder-decoder, causal, & self-attention to machine translate complete sentences, summarize text, and answer questions.
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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.
Discover some of the shortcomings of a traditional seq2seq model and how to solve for them by adding an attention mechanism, then build a Neural Machine Translation model with Attention that translates English sentences into German.
15 videos4 readings1 assignment1 programming assignment1 app item3 ungraded labs
Compare RNNs and other sequential models to the more modern Transformer architecture, then create a tool that generates text summaries.
10 videos6 readings1 assignment1 programming assignment3 ungraded labs
Explore transfer learning with state-of-the-art models like T5 and BERT, then build a model that can answer questions.
16 videos15 readings1 assignment1 programming assignment3 ungraded labs
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Instructor ratings
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
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Reviewed on Oct 14, 2020
great course content but go for this only if you have done previous courses and have some background knowledge otherwise you won't be able to relate
Reviewed on Sep 28, 2020
Not up to expectations. Needs more explanation on some topics. Some were difficult to understand, examples might have helped!!
Reviewed on Oct 26, 2020
Everything was great.
Slides & notebooks/exercise were amazing The content is superb and very up-to-date.
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