Sep 20, 2019
one of the excellent courses in deep learning. As stated its advanced and enjoyed a lot in solving the assignments. looking forward for more such courses especially in Natural language processing
Aug 09, 2020
A very good course and it is truly insightful. This course deals with more on the concepts therefore I have a better understanding of what is really happening when I build deep learning models.
автор: Emanuel P F•
Jan 09, 2019
It is not a introductory course! The course provides an excellent path showing the most tools in deep learning techniques but you have to spend more time looking for additional material to supplementary this course. In general you will learn the basic about Neural Networks, Convolutional Neural Networks, and Natural Language Processing.
автор: Alexey Z•
Mar 19, 2020
Autoencoders, RNN: Theory ovekill, which seems to be pretty useless, as after listening and trying to follow the lectures logic, you need to go outside to read explanations. E.g., after lectures I had 0 understanding of how LSTM is implemented, how it really works, even how actually it helps avoding gradient expls/vanishing.
автор: Γεώργιος Κ•
Jan 13, 2020
This was absolutely an interesting and enlightening course. There are things left unexplained and appear from nowhere in the programming assignment like RMSprop. Though the assignments can be passed even with these dark spots I think this is a reason that this is not a five-star course. In fact, I would rate it as 4.5 stars.
автор: Driaan J•
Apr 29, 2019
The content of the course is really excellent, and the lecturers' knowledge is just superb.
The only drawback of the course is that the lecturers' native language is not English, and accordingly it is sometimes difficult to understand them. But there are subtext to the lectures in English that one can refer to.
автор: GOUTAM K•
May 28, 2020
Lectures were short and to understand the topic, we need to browse those topics online. Programming assignments were tough and interesting but mostly pre-coded. But still the code quality was good and reading the code was interesting. Overall a good course but not much recommendable for a beginner.
автор: Yaran J•
Jan 06, 2019
Good overview of deep learning topics like CNN and RNN, and also hands on coding assignment of Tensorflow. However, this is a big gap between the video material and the programming assignment. Need to add more training for Tensorflow before deep learning models. And the instructors speak too fast.
автор: Max P Z•
Nov 19, 2017
The content of the course and programming assignments is well designed. However, there're some technical issues with the assignments (eg. unable to submit the results for honor content). And some requirements for the accuracy/loss in the programming assignments are really too high.
автор: Margarita C•
Jul 29, 2019
My impression of the course is controversial, like it itself is: an introduction to advanced DL. Tough and frustrating for the first experience in DL. The course was useful, but, as everyone notes, in the end you learn from materials you find in the Internet to complete the tasks.
автор: Tue R L C•
Mar 20, 2018
This is a relative new courses which shows in some of the assignments e.g. minor mistakes and weird hacks required to pass them. The final project is a bit of a let down as it basically requires the user to do some data processing in python but no "real" machine learning.
автор: Gonzalo C•
Jun 20, 2020
You should record again all the videos of week 4, because the pronunciation in that videos are not good enough to understand well all the details, and It's kind annoying to listen all the videos, and keep listening for long time. The rest was a great course
автор: Andrei V•
Jun 08, 2018
Nice intro to DL. Final assignement is quite hard to accomplish, as you don't know the goal - loss should not too small, not too big (but are the boundaries?). For me it was ok, as I'm running on GPUs, but it should be painfull path for CPU folks.
автор: Thomas L•
Aug 29, 2020
The course is greatly taught and benefits from having several teachers, each having their own touch and approach to the material.
An upgrade of the programming assignments to the latest version of tensorflow would however be more than welcome!
автор: Abhinav U•
Dec 02, 2017
It's a good course for people with some prior experience and background in machine learning (specially neural networks). The exercises and projects were a bit difficult and needed effort to get correct but helped reinforce the concepts.
автор: Milos V•
Jan 08, 2019
Interesting and useful course. Capstone project was quite difficult, but I learned a lot - so I do not want to complain about it. Maybe a bit more code-related things during the lectures would be useful to make capstone project easier.
автор: nicole s•
Mar 18, 2018
Very good content and teachers. Indeed advanced level, for the less advanced it would have been helpful to include some more clarifications towards solving the assignments and the mathematical derivation of the main concepts.
автор: Georgios P (•
Apr 26, 2020
It is a good course overall, but some subjects feel a bit rushes. Also, it would be much better if authors were adding a week for learning the tools that are used in program assignments (Tensorflow and Keras specifically).
Mar 02, 2019
really nice course to hone your skills. but sometimes the assignments are really really tough and no hint is provided how to solve them. i was having problem because of my weak python skills. afterall course is relly nice
автор: Adam S•
Feb 26, 2018
The course is very good. The last assignment was pretty ambitions with the image captioning but i am glad they did it. Some of the lectures the english is very difficult to follow. Other than that really helpful course.
автор: Tiandong W•
Sep 12, 2019
This is an ADVANCED DL course. If you have already learned Andrew Ng's deeplearning.ai course or other basic course, this course is good for you as a test. But if you don't know DL at all, this is not for you.
автор: Hamlet B•
Jan 20, 2018
This course is incredibly challenging and the assignments can be frustrating with little guidance, and high bar to pass graders. I give it a high rating because it really pushed me to learn and master details
автор: Meetkumar R•
May 02, 2020
It was a good experience as it introduced some basic concepts of Deep-Learning. But knowledge delivery was not good as it was hard to understand what the instructor was saying due to some language issues.
автор: Sergio A M V•
Sep 02, 2020
This must be updated to tensorflow 2 :) there is a professor that is really hard to understand what he is saying sometimes, also In the subtitles show inaudible. Maybe fix the subtitles is good enough
автор: Evangelos-Iason M•
Jun 23, 2020
The overall course quality is very decent with real industry applications. I think if you added some additional lecture videos, the course would be better; sometimes it feels like we are in a rush.
автор: Murad O•
Dec 17, 2017
I found the content to be interesting and on a good level of advancement, but I also found the exercises to be buggy sometimes or not well thought, which cost a lot of extra time spent on it.
автор: Пронина Д А•
Jan 22, 2020
The course was quite useful, but I didn’t really like how the practical tasks were compiled. For some tasks, a lot of time was spent only because of an incorrect description of the task.