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Learner Reviews & Feedback for Sequence Models by DeepLearning.AI

4.8
stars
30,390 ratings

About the Course

In the fifth course of the Deep Learning Specialization, you will become familiar with sequence models and their exciting applications such as speech recognition, music synthesis, chatbots, machine translation, natural language processing (NLP), and more. By the end, you will be able to build and train Recurrent Neural Networks (RNNs) 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. The Deep Learning Specialization is a 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 take the definitive step in the world of AI by helping you gain the knowledge and skills to level up your career....

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.

MK

Mar 13, 2024

Cant express how thankful I am to Andrew Ng, literally thought me from start to finish when my school didnt touch about it, learn a lot and decided to use my knowledge and apply to real world projects

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626 - 650 of 3,693 Reviews for Sequence Models

By Awadhesh M

Apr 12, 2020

It was fun and a wonderful experience to learn deep learning. Course content is well structured, and the way things are taught , kept me engaged all the time.

Thank You Andrew.

By Kasparas K

Aug 27, 2020

Andrew Ng is a great teacher, explaining everything in detail and trying to help you develop intuition about the very difficult processes that happen in deep neural networks.

By Aayush

Jul 23, 2020

This course helped me gain a solid knowledge in the field of RNNs, Language Model etc. It also helped me to interpret the industrial level projects in a more systematic way.

By Abhishek B

Oct 7, 2019

The course explanation is really nice. The topics are a bit advanced and hence need to be gone through multiple times. As always, Andrew and the team nail it with their work.

By Md. M I S

Sep 3, 2019

I have completed the full specialization. For sure this the best specialization if anyone wants to build his/her career on AI. Thanks to Coursera to be a part of our journey.

By Omid A A

Feb 18, 2018

I have not seen a better video tutorial for sequence models. I definitely recommend this course and specialization for those who would like to work with deep learning models.

By Phan V D

Aug 14, 2024

The content is awesome! I have learnt a lot from the sequence model course. Howerver, the jupyter notebook in assignment 7 has a huge problem that I cannot save my notebook.

By Sahan P

Dec 12, 2019

Great Course as Always. Talks about Few Major Sequence Modeling Algorithms to some deep extent. And the Practical assignments are Fun to do as well. Thank you, Dr Andrew NG.

By Yedhu K V P

Sep 22, 2018

I loved the course and the whole specialisation. I learnt a lot and I am going to apply all this knowledge to do some projects on my own. Thank you for designing the course.

By Gknow

Feb 22, 2018

Excellent instruction, yet again! Thank you for such a valuable course that is available to people who can't afford expensive instruction at a university. I am so grateful!!

By Kenneth B

Oct 27, 2024

Excellent course. Week 4 was challenging especially Transformers, but it's clearly important to learn that material because of its relevance to natural language processing.

By Erik D V

Aug 30, 2020

Great course! I was introduced to many interesting and difficult concepts about machine learning. The lectures were very good and the assignments were somewhat challenging.

By Rein L

Aug 2, 2020

Really useful knowledge ready to be applied to real world problems. Easy to learn without any backgrounds in AI. The practice part is very clear and helpful. Thanks Andrew!

By Х. А Р

Apr 3, 2020

That's the most complicated course in the Specialization. But the more complicated algorithms the more interesting tasks. Thanks for fascinating trip through Deep Learning!

By luis d

Dec 12, 2019

It is a very complete course I learned a lot about various network architectures to use in language model, speech recognition, music generation, etc. I highly recommend it.

By Man M S

Dec 2, 2018

This one was bit tougher then earlier 4 courses but a very good course. Course content is great for implementing NLP. Course step ups my existing level in Machine Learning.

By Xiao H D

May 28, 2022

You can spend as little time as you want, or you can go as deep as you want. It's incredible how flexible and well-designed is this course, and the entire specialization.

By Andres S

Apr 21, 2018

This was the most fun course of the series. I particularly liked how you can use RNN for NLP. Great series of courses @ deeplearning.ai. Thank you Dr. Andrew Ng and team.

By Prabu S

Sep 25, 2023

Complicated concepts explained in quite simple terms upto the Basic Transformer concepts. Hope they could have updated for more state of the Transformer concepts as well

By YANSKY

Nov 13, 2020

Very nice course! Everything explained clearly. Have been taking the specialization and it much worth to take. Every given material was useful. Thank you for everything.

By banafsheh

Jan 18, 2019

the first week is relevant to my work, but it was great learning a bit about other topics in week2 and week 3. Thank you so much for making these videos and assignments!

By Pablo V I

Mar 18, 2018

Excellent course in order to learn an introduction about Natural Language Processing and Speech Recognition. The programming assignments are fun and challenging. Thanks!

By PARAS N D o I

Jul 7, 2020

One of the harder to understand concepts that exist in deep learning. However, the intuition that Andrew gives you makes it so much easier to comprehend. Worthy course!

By Nitin G

Nov 30, 2019

Most of the concepts were new to me. Loved the way the simplicity with which Andrew Ng and his team delivered these concepts even though theoretically they looks tough.

By DrawYouNow

Sep 29, 2020

Thank you, teachers! I learned a lot from this Course as well as this Specialization.

Thank you for Andrew Prof and every teacher made this valuable course.

Thank You <3