Learner Reviews & Feedback for Sequence Models by DeepLearning.AI
About the Course
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 ...
Top reviews
MK
Mar 14, 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
AM
Jul 1, 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.
1251 - 1275 of 3,744 Reviews for Sequence Models
By Oliver P
•Jun 27, 2020
It helped me a lot putting my existing knowledge on Sequence Models on a solid basis.
By Karthikeyan T P
•Jan 20, 2020
Excellent course regarding Recurrent Neural Networks and Natural Language processing.
By Animesh S
•Jun 16, 2019
Amazing content, can get really strenuous. An apt end to an excellent specialisation.
By Jaime R
•Dec 8, 2018
Everything you should know about Recurrent Neural Networks with some impressive demos
By Huaixiu Z
•Mar 5, 2018
Great design of the structure to cover both language modeling and speech recognition.
By Ali M
•Feb 28, 2025
Great content. At times it was tough to catch but overall it was easy to understand.
By Ashutosh M
•Feb 12, 2024
I like the design of course, but a few more readings and references could be better.
By sesh g
•Dec 15, 2019
This is an excellent course with deep insights on variety of models and applications
By anusha k
•Oct 20, 2019
Very good course.Good to learn to build networks from scratch as well as with Keras.
By Utkarsh G
•Feb 27, 2019
The course is good but I like the other courses of the specialization a little more.
By Edwin Y
•Jan 16, 2019
Thank you Andrew and the team for putting together such a great learning experience.
By Diego M
•May 3, 2018
Excellent as the rest of the specialisation. Few teething problems on the exercises.
By Bilal M
•Feb 28, 2018
Thanks guys. I loved the whole series especially the lectures of Ng and fun labs. :)
By Ling J
•Feb 8, 2018
Thank all stuff of this specialization, I learned a lot from this series of courses.
By Ebong K N
•Dec 18, 2024
Thank you very much for the real-time projects and teachings by Prof Andrew (^._.^)
By Paolo B
•Mar 13, 2023
An in depth introduction to sequence neural network for natual language processing!
By Tuong L
•Jul 20, 2022
This course is wonderful. I studied a huge of knowledge after finishing the course.
By Michael R
•Jun 24, 2021
I feel like the world of machine learning really opened up for me with this course.
By bhavik t
•Oct 20, 2020
This course was bit hard for me, but the professor made it very easy to understand.
By å¼ æ˜Šå“²
•Jun 11, 2020
The whole specialization really helps a lot. Thanks Andrew and also other teachers!
By Ningchao W
•Nov 18, 2019
If some more advanced models such as self-attention are added will be more helpful.
By Emmanouil K
•Apr 26, 2019
Fantastic course. Ideal place to start your journey using sequence models in Keras!
By Shariq A
•Nov 23, 2018
Thank you Sir for making the course easy and possible for me to learn.Thanks a lot
By Frederic D
•Aug 11, 2018
Sequence models seem a bit harde to understand but a good explanation non the less.
By J A M
•Mar 5, 2018
Very solid conclusion to an already exceptional five-part curriculum. Nicely done!