MI
6. Juni 2020
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.
OR
3. Aug. 2019
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.
von ANMOL J
•6. Sep. 2020
Amazing! and such a beautifully designed whole specialization that teaches you the practicality of tensorflow while holding a great understanding of indepth working!..Thank you! Lawrence and Andrew for such great courses !
von Luiz C
•19. Aug. 2019
Eventually my favourite Course of the Specialization. Clear and learning content put in practice with focuses on the challenges of choosing DNN hyper-arameters and impact on their performance. Thank you for the good work
von Juan S B N
•16. Jan. 2021
This course is great. The instructor took enough time to explain time series and how a neural network could identify the components of such time series. The introduction is great and the course material is quite useful.
von Dave P
•2. Feb. 2020
A great course, wrapping up the specialization. The entire specialization has been very informative and inspirational. Thank you Laurence and thank you Andrew.
Like many others, would love to see what you produce next.
von Moustafa S
•28. Juni 2020
this is by far the best course of this specialization, even tho i'm more into Computer Vision, but this course was by far so great and helpful to work on sequences and time varying data, really appreciate the effort.
von CLAUDIO C D R
•2. Mai 2020
This specialization provides great insight into Tensorflow. It would have been nice to see algorithms mentioned in the Deep Learning specialization, such as the YOLO algorithm, implemented in the Tensorflow framework.
von Christopher G
•2. Aug. 2019
I quickly learned a lot about how to represent time series and sequence data for prediction tasks, and how to combine different deep learning techniques together to get high-quality predictions. Another great course!
von Farhan F
•7. Apr. 2022
This course is very good, unfortunately this course not a programming assignment so many others for material but i am satisfied because this material can i keep to more learn about Machine Learnig with Tensorflow
von MOHAMMAD A U
•29. Feb. 2020
Excellent course. Till now i could not imagine how to use machine learning in time dependent data. This course will help me a lot in this regard
I would like to thank Laurence Sir
and a Special thanks to Andrew Sir
von Gonzalo G N
•14. Feb. 2021
Thank you for building up this awesome course, I'm finishing my final university project and this courses have been really helpful for me to add great information. I already bought the Laurence's book. Thank you!
von Muhammad I
•30. Apr. 2021
I love how comprehensive the material, in just one notebook you can derives everything that you can learn start on how to tune and improve machine learning models in and out. Great mr.Laurence, keep it up.
von Vishnu N
•8. Okt. 2020
I am really excited about learning deep learning with Laurence Moroney in this specialization.
Thanks to Coursera for this specialization
I am now looking forward to doing exciting projects on Deep learning.
von Nelson S S
•7. Okt. 2020
Dear Professors Andrew and Lawrence I have learned a lot.
Thank you very much for all the generosity you have to share the knowledge. Thanks for this little walk through all those deep learning techniques.
von Mo R
•17. Aug. 2019
It's a highly helpful introductory course to learn fundamental of application powerful deep learning models with tensorflow in time series, and the lectures are clear with interesting exercises. thank you.
von 孫曉恩
•9. Nov. 2022
This is a great course. The lecturer uses a simple way to introduce time series data and how to deal with these data. From this course, you can learn techniques to build models for time series data.
von Mohamed S R I
•7. Juni 2020
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.
von Jerry H
•22. März 2020
Really like the focus on practical application and demonstrating the latest capability of TensorFlow. As mentioned in the course, it is a great compliment to Andrew Ng's Deep Learning Specialization.
von Suci K P
•5. Juni 2020
I really love this course. It's really easy to understand and systematic. please create more course about time series forecasting. Thank you very much. I've learned a lot of things from this course.
von Vladimir V
•26. Nov. 2019
Great course! The notebooks were a great help for understanding the material. I only wish there were auto-graded notebooks in addition to the quizzes like in some of the other courses by Andrew Ng.
von Victor H
•19. Juni 2020
Coming from a background of knowing Deep Learning and theory of Time Series, this course was extremely helpful in understanding the practical aspects. I would recommend you take a course as well
von Heinz D
•22. Juli 2022
Very interesting and well-structured content presented from an enthusiastic and likeable teacher with a profound knowledge. Good quizzes and in-depth exercises. Thank you for this great course.
von Akshar A K
•5. Juni 2020
Laurence Moroney is the best. Before taking up the course, i didnt know anything about the AI or ML or Tensorflow. The concepts were explained in such a manner that anyone can learn Tensorflow.
von Arif F L
•21. Mai 2020
Its very interesting, thank you Lawrence and Andrew. You both have brought me to a wonderful world. I hope I can continue to more explore, more learning, and more practice to this new world. :D
von Faqih F
•16. Apr. 2022
This is a very suitable course for those of you who are new to machine learning, because after I took this course my interest in machine learning has increased. especially CNN computer vision.
von Pritam B
•15. Mai 2020
The course is easy to follow and focuses on how to implement theoretical concepts using tensor flow. The way Lawrence approaches the sessions makes it really interesting and fun to learn!