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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
26,148 ratings
3,084 reviews

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with NLP models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language understanding, and more that have become possible with the evolution of sequence algorithms thanks to deep learning. By the end, you will be able to build and train Recurrent Neural Networks and commonly-used variants such as GRUs and LSTMs; apply RNNs to Character-level Language Modeling; gain experience with natural language processing and Word Embeddings; and use HuggingFace tokenizers and transformer models to solve different NLP tasks such as NER and Question Answering. DeepLearning.AI is proud to partner with NVIDIA Deep Learning Institute (DLI) to provide a programming assignment on Machine Translation with Deep Learning. Get an opportunity to build a deep learning project with leading-edge techniques using industry-relevant use cases. The Deep Learning Specialization is our foundational program that will help you understand the capabilities, challenges, and consequences of deep learning and prepare you to participate in the development of leading-edge AI technology. It provides a pathway for you to gain the knowledge and skills to apply machine learning to your work, level up your technical career, and take the definitive step in the world of AI....

Top reviews

JY
Oct 29, 2018

The lectures covers lots of SOTA deep learning algorithms and the lectures are well-designed and easy to understand. The programming assignment is really good to enhance the understanding of lectures.

AM
Jun 30, 2019

The course is very good and has taught me the all the important concepts required to build a sequence model. The assignments are also very neatly and precisely designed for the real world application.

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251 - 275 of 3,054 Reviews for Sequence Models

By kk s

Mar 30, 2019

Course of lectures are excellent, but please fix the following problem

week 1 Programming Assignments

Improvise a Jazz Solo with an LSTM Network - v3

Dimensionality in djmodel()

https://www.coursera.org/learn/nlp-sequence-models/discussions/weeks/1/threads/NAoSHgf0Eei8aw6tWi-efA

By ANURAG S

Jun 1, 2020

I'll remain forever indebted to Andrew and his team for preparing this rigorous course. I can imagine the effort put in designing video lectures, going through research papers, crafting out these well-knit coding exercises. He has democratized AI and education in true sense.

By Lucas S

Jan 21, 2019

I appreciate all the hard work and effort Andrew and his team puts in all his material.

I had hard time with most of Keras homework’s, I think it's hard to get the overall logic of a framework without an extensive explanation.

Besides that, the topics discussed are amazing.

By Haider A K

Dec 8, 2019

A great introduction to Recurrent Neural Network models with lots of examples (text generation, music generation, sentiment analysis, word embedding, speech recognition, attention-based machine translations etc.). Thanks a lot to Andrew and the team for this awesome course.

By Fang S

Sep 12, 2018

Andrew, again explained complicated structures very clearly. The first week might be a bit overwhelming and you might get lost with huge information overflow, but trust me, in week2 and week3 you will see how the dots are connected. Thank you Andrew for this amazing course.

By ABHINAV G

Feb 15, 2020

Thanks for making this course! I have been through all the courses in this specialization, and they are really excellent! Andrew has a great way of explaining things simply. It was easier for me to look at a couple of research papers after having gone through the lectures.

By Mohamad K

Feb 26, 2019

Prof Andrew such a great person. He teaching from the heart where 99 % of Prof not doing it today.

He summarized Deep learning+ Computer vision+ NLP in easy way. I am thankful for Coursera and Prof Andrew. I strongly recommend this course and all his courses to everybody .

By Akanksha D

Sep 26, 2018

Awesome. But the programming assignments need to be less erroneous and lectures and assignments could contain more technical and mathematical details to build the foundations. The programming assignments could be designed to allow the students to do more that spoonfeeding.

By Alouini M Y

Feb 20, 2018

This was for me the best course on the deeplearning.ai series since I am a complete novice regarding sequence models. Nonetheless, I have managed to learn a lot and the material was very good (with often state of the art techniques). The assignments were excellent as well!

By Aleksa G

Jan 20, 2019

I really liked this last course as I did not have much experience with NLP and with audio in general, as I did have with computer vision and image processing. The keyword detection model is really cool! After this specialization I am starting to build my own ML projects!

By Raivis J

Mar 18, 2019

This is the hardest course in the specialisation, and may take some extra effort. For practical assignments I recommend getting familiar with Keras syntax and workflow, as here there is little hand-holding here,. the focus is on actual model architecture and algorithms.

By Zein S

Feb 15, 2018

This is not a good course, and even not a good tutor.. It is a great course and Andrew is really incredible tutor... I like this course so much and got tons of benefits...

I am so happy to take this course..

PS: You can add this review to the sentiment analysis data set

By Guilherme

Jun 10, 2018

I really enjoyed the models presented in the course, as well as the accompanying exercises; I think Andrew and the team did a good job at giving intuition about the problems and coupling that with enough hands exercises to give better understanding of the implemtations

By Juan V M

Jun 30, 2018

Greatly explained. A lot of things explained in detail in just no that-much videos. Totally worth-it the specialisation!! Went from zero knowledge to know a lot of things about how it really works. Learned python (including keras and tensorflow) along the way as well.

By David W

Feb 18, 2018

Thanks for an enlightening course about sequences and how to apply machine learning concepts. This course has brought new light to how to solve some difficult sequencing tasks in my day to day work and I plan on looking for future courses from Andrew Ng in the future!

By Adão T

Aug 30, 2020

The course is well structured! Dr Andrew Ng teaches very well all the concepts in the videos and also references to the papers. Along with the programming exercises, we can put in practise all the concepts from the videos. The exercises are also very well documented.

By - A U S

Jun 11, 2020

This was by far the most challenging and most interesting course of all the courses in the specialization. Really gives your brains a hard time, but after you see/hear (haha) the results, it seems that all that was worth the effort!!! THANKS ANDREW, for everything!!!

By Michal G

Mar 25, 2018

Very good course as all run by Andrew Ng :)

Even though I passed all the assignments I will go through the whole course again to make sure I understand everything very well.

On the other side it would be nice to get some reference to public data to train more on my own

By Srikanth G

May 15, 2020

It's been a great journey. Thank you all for providing such an insightful and thorough course. The use of real-world applications to demonstrate deep learning algorithms was truly astounding. Once again, thank you, for imparting your precious knowledge to the world.

By Raffaele T

Mar 9, 2018

It's a course about a lot of things: speech recognition, music generation, image captioning, machine translation, ecc.

It's highly recommended to study previous courses to fully understand the concepts.

There are some errors in the exercises because it's a new course.

By Alejandro D G

Oct 12, 2020

Very good course: the lectures are clear and motivating, the applied exercises help to improve the understanding of the topics and its implementations, and is very nice that for each topic the teacher incentivizes to read the papers from which this ideas came from.

By Arkoprova M

Aug 24, 2020

This course gives a very good introduction to exciting applications of Deep Learning,that too in a very short time span. It is worth the time and effort to learn a complex thing in such a lucid manner. The instructions in the programming assignment has helped a lot

By Rohan K

Mar 27, 2018

Pellucid, succinct, and the final bomb of this specialization! Felt a little dazed sometimes during the course and some things didn't really make some sense, but after things do settle after a re-watch. This course is so good it is actually re-watch recommended. :P

By Jonathan E

Jun 26, 2019

As usual, an amazing course by Professor Andrew Ng. The course manages to convey the most important elements of such a critical field, teaching from papers which were published only a couple of years ago. For anyone who wants to work in AI/ML, this is a must-do.

By Tín N T

Aug 21, 2019

This course helps me understand more about RNN and its variations, especially I learnt about the basic of Attention mechanism. What I enjoy the most in this course is its assignments, these are very practical and easy to understand. Thank you for reading these.