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.
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!
por Vikas K•
it would have been better if he used more visualization
por Jarosław G•
There were a lot of problems with notebook task grader.
por Nick J•
Great course, but too many mistakes in the assignments.
por Aloys N•
Good content, it would have been good to do more keras
por Johannes J•
Great insights, helpful notebooks, good explanations.
por Karol K•
Again, programming assignment should work flawlessly!
por Roberto G•
un poco lentos los ejercicios y repetitivos comandos
por Saurabh P•
Very good introduction to RNNs and their variations.
por Jetro G K•
Muy difícil en comparación con los demás anteriores
por Minh N•
Too much details! Too little time. More exercises!
por Igor R•
Excellent content, the auto-grader not so awesome.
por Andriyanto H•
Very good course but can be too rushing sometimes.
por Syed S•
A little too difficult to understand from scratch
por ANDREW ( G•
A little bit less quality than the previous ones.
por Hemanth M•
More programming examples/exercises would be good
por tusheng w•
useful to familiar with RNN, GRU, LSTM and so on.
Exercises are a bit tough and misunderstanding...
por Wan N•
It will be nice if the videos are more detailed.
por Marco M•
The course was really interesting and well done
One task has a bug and impossible to complete.
por Chen L•
hope there are more projects about time series
por Erick Z•
The programming assingments have some errors.
por Mohit K•
Amazing Course with Awesome practice problems
not as fun as CNN course but still so useful!