It was an amazing experience to learn from such great experts in the field and get a complete understanding of all the concepts involved and also get thorough understanding of the programming skills.
I really enjoyed this course, especially because it combines all different components (DNN, CONV-NET, and RNN) together in one application. I look forward to taking more courses from deeplearning.ai.
автор: Hector B•
Compared to the first two courses in the specialization, the last two lack a lot of practical coding homework, and there is really where the concepts are fixed. The course should have more graded coding excercises.
автор: Rajesh R•
Good course but could have been better. Many obvious issues with time series forecasting / prediction were not discussed, such as the inability of the model to predict some of the peaks and troughs better.
автор: Asad M•
It's a relatively shallow course. They don't really dive down to the details or even don't cover whole a lot when it comes to examples, exercises or assignments. So, This is very much for the beginners.
автор: Igors K•
The week 2 quiz is super bad (even pro NN people didn't couldn't answer some questions cos they're badly worded).
I honestly am not a fan of getting the notebook after the video that explains it.
Nice course. Despite it's a practical one, you should consider to get just some deeper in the theory embedding the models you presented, to make the audience understand better what's going on.
автор: Slav K•
As from fulltime ML practitioner and occasional user of TF this course is not too much in "practice" as many things are left untouched. However can be beneficial to complete newbie.
автор: Dimitry I•
Good course, but seems a bit hastily put together. I really liked the technique for determining optimal learning rate. Thank you Mr. Moroney and the entire Coursera team.
автор: J N B P•
This course teaches how to use the tools in Tensorflow for predictive analysis. It would be more helpful if you're familiar with sequence models.
автор: Harshin N m•
Course should more focus on real time data set, and assignments should be based on building the model, rather than this kind of simple questions.
автор: Bogdan L•
This course was less detailed than I had hoped. I feel I have learnt more from the CNN and NLP courses in this specialisation.
автор: Alfian A H•
The sound keeps getting lower and lower but the materials is good. i hope you can explain in real data more than dummy data.
автор: Ghifari A F•
I didn't expect the course would be this easy and simple. But overall, this course is useful for introduction to TensorFlow.
автор: Muhammad E K•
This course lacks content, does not really teach much. Most of the time instructor just reads out code
автор: Sajal C•
More explanatory links can be given about different concepts. Other than that, course is fine.
автор: Arjun S•
Would have preferred notebook evaluations which were there in the CNN course.
автор: Paulo A C•
Time series future predictions is something I really missed from this course.
автор: Sabharish M•
More real world examples and datasets would have been beneficial
автор: Alexey V•
Would ask more difficult tasks to solve, the level is just entry
автор: Raul D M•
It is the most interesting course of this specialization.
автор: Attili S•
could have emphasized more on the time-series data...
автор: Pablo J•
I would have like to do testing exercises.
автор: Zanuar E R•
the sound still bad, cant hear the voices
автор: Angel S•
This course teaches just the very basics
автор: Robert M•
Model did not predict well.
автор: Naim H•
where is the assignment