I was really happy because I could learn deep learning from Andrew Ng.\n\nThe lectures were fantastic and amazing.\n\nI was able to catch really important concepts of sequence models.\n\nThanks a lot!
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.
por Steven W•
I learned a lot, but it really felt like there could have been a whole other week's worth of material, especially talking about newer innovations like transformers, etc.
por Jonathan H•
This course and assignments helped me understand concepts in NLP. However, it is a little less comprehensive compared to the previous courses in the deep learning series
por David J•
Thank you Deep learning team for putting together this course. The course has really helped me understand the various possibilities with the knowledge of deep learning.
por Bhavul G•
The first week was a bit too tough compared to the second and third. So, I felt it was a bit hurried. It could have been distributed into two separate weeks, perhaps.
por Cristhian P•
This course was very useful. I would make the programming assignments for the first session a bit clear. Other than that, everything was easy to understand and clear.
Good, but not as in depth as the other lecture series I found. It is faster paced and skips over much more of the detail at which they go into in the earlier modules.
por joris b•
If the programming exercises weren't plagued by some bugs, I would have given 5 star. It's a very complex subject matter, but Andrew takes you through it by the hand.
por Robert L•
I feel week 2 and week 3 materials were covered a bit too quick. Would appreciate more explanation of the implementation details of beam search and activation model.
por Amir A•
It was really helpful, every topics explained very well. However, in my standpoint of view, It did not cover some part in sequence learning, like graphical models.
por Jürgen R•
Really nice course. Very informative. Unfortunately some programming exercises were a little buggy (the grader especially)...only a total reset of notebook helped!
this course provide an adequate and what you want to know about recurrent neural network but it does require lots of programming skills to accomplish this course.
por Tom S•
Good course, but I needed more time than expected, especially for the exercises. For me, that was the most demanding course out of the 5 from that specialization.
por Tim A•
A lot of cool material covered from RNNs to LSTMs to Sequence Modeling. But it is a lot to grasp and a lot to understand. Overall, rigor and course is decent.
por Aravind R K•
Great way to finish off the DL specialization. Had a blast learning about time sequences and attention models. It was extremely fun to work on the assignments.
por Yogeshwar D•
programming assignments are not teaching us to code independently because of the helpers functions given in utils file. Feels like copy pasting the assignments
por SIRAM N N D S K•
It is a really awesome course for those who want to get started with deep learning methods in NLP.
Got a very clear insight about GRU,LSTM,RNN,Word Embeddings.
por Rohan S•
The course is really good, one star less because it requires keras understanding to complete assignments properly. Including a basic intro of keras will help
por Nitin S•
The time allocated to some of the assigments should be increased. The estimated time in many cases seems to assume that one is aware of Keras and Tensorflow
por Cazaubieilh G•
To the point ; sometimes it would be nice to explain the research papers more in depth, and link other courses to have more formal mathematical explanations
por ignacio v•
Give us one more week to learn RNN for time series in economics, finance, etc!
Programming Exercises need more hints and more training in simple Keras models
por Péter D•
Well-made course, but unfortunately there are tons of mistakes in the programming assignments - in the comments, formulas, even in the prepared code pieces.
por Matheus B•
The best course in the Deep Learning Specialization. Really good and well explained. There are some problems and mistakes in the problem assignments though.
por Дубровицкий А А•
Somes basics, tiny bit of theory, a bit of keras and insights for practical tasks. Some strage errors in notebook exercises makes it 2x time longer though.
por Markus B•
Great course. The only tiny flaw is that the introduction to Tensorflow and Keras was a bit shallow so that I struggled a bit with programming these parts.
por Andreea A•
Instructive course with useful concepts. However, there were many more mistakes in the notebooks compared to the previous 4 courses in the specialization.