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
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.
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
1226 - 1250 of 3,751 Reviews for Sequence Models
By Erick A
•Apr 15, 2020
Very interesting and illuminating introduction to RNNs. Thank you so much Andrew & team!
By Alonso O O
•Apr 8, 2020
I've felt it like a briefly introduction to Sequence Models because this topic is hard.
By Daniel A G E
•Feb 3, 2020
Excellente course. I just want a write content, please, like the Machine Learning course
By Krishanu B
•Jan 27, 2020
The best and the most well structured course in this topic. Extremely satisfied with it.
By Carlos S
•Nov 26, 2019
Great course, I couldn't even imagine I was going to learn advanced concepts, thank you.
By Yehua Y
•Mar 11, 2019
thanks god, i have finished all the courses.I love it,thanks Pro. Andrew Ng, thanks all!
By Mark L
•Jul 1, 2018
course is a little bit too light on the explanation, need to rewatch videos a few times.
By Joshua J
•Jun 13, 2018
Very Clearly explained and yet sufficiently challenging to drive learning and retention!
By Jerome R
•Apr 9, 2018
Perfect balance between theory and practice, with intuition first approach! Thank you!!!
By Jesús P
•Mar 26, 2018
A really good course! However it can go deeper with other type of timeseries problems :)
By Karl S
•Feb 18, 2018
This should be required material for anyone going into deep learning from another field.
By Nishant S
•Feb 13, 2018
good course...assignments are great allowing one to understand the activities in detail.
By Dhaval S
•Jan 2, 2022
Some topics are really tough to grasp. Howeve, it is giving is most recent information.
By Kyaw T H
•Oct 24, 2020
The Course is awesome and best! But, it is difficult for who doesn't familiar with NLP.
By Madhav D
•May 29, 2020
Fantastic course by Prof Andrew Ng and the Deeplearning.ai team. I highly recommend it!
By Yuri
•Apr 12, 2019
I like the great approach to the tasks which are no way dull, but are really inspiring.
By Yiqin Y
•Mar 10, 2018
Thanks to Professor Andrew and all the staff, this is really, really an amazing course!
By victor v a
•Oct 26, 2022
Great course! Learned a lot, even though I already was familiar with neural networks.
By Will S
•May 27, 2020
Lecture content was very good. Coding examples of keras/tf during lectures would help.
By Chetan
•May 11, 2020
Great course with some really cool and necessary assignments to learn sequence models.
By Thanh N N
•Nov 3, 2019
Great course! I learned quite a lot from this course. Thanks so much, Prof. Andrew Ng!
By Jonery.L
•Apr 1, 2019
Very excellent course. You have to work hard in order to complete it, but it's worthy.
By Dan L
•Aug 3, 2018
Specific course. I really enjoy all courses of this specialization. Thanks, Prof. Ng!
By Mark P
•May 4, 2018
Would love to see a course on deep reinforcement learning and GANs (generative models)
By John E B
•Mar 7, 2018
Very interesting! Only thing is perhaps a better introduction to Keras functional API.