TG
Dec 1, 2020
I learned so many things in this module. I learned that how to do error analysis and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
JB
Jul 1, 2020
While the information from this course was awesome I would've liked some hand on projects to get the information running. Nonetheless, the two simulation task were the best (more would've been neat!).
By Jeffrey A A
•Jun 30, 2020
Great overview on how to review the output of your project, understand the results, and how to iterate (what to go after) to make your algorithm. Andrew Ng nailed it again!
By MartÃn C
•Jun 7, 2020
Excelente curso, se ven temas que no se ven en otros cursos. Lo disfruté. ¡Gracias!
Excellent course, topics are seen that are not seen in other courses. Enjoy it. Thank you!
By Andreas B O
•Jan 7, 2020
This was a short but very useful course - the concepts will be highly useful for future projects - especially the testing method using the scenarios of applied Deep Learning
By Simon W
•Sep 9, 2019
Having dived into the detail, this is a great overview to help you string together your new skills and implement something. The "flight simulator" concept is a powerful one.
By Brighter A
•Apr 7, 2018
This course is one of a kind. It offers DL new entrants the opportunity of understanding applied DL and gaining 'offline' DL experience. Thanks for the opportunity given me.
By Cheryl A
•Mar 25, 2018
Great course. Provided important insight in how to setting metrics, evaluating errors, dealing with mismatched data and an intro to transfer learning and mulit-task learning
By Dongxiao H
•Dec 5, 2017
I've learnt the coursera even not watching the last two videos, maybe the order is wrong. But the course is very beneficial to diagonize the pathway to kick the problem off.
By Harley J
•Oct 22, 2017
This course teaches very good practical advice for designing your own deep learning project, prioritizing resources, and identifying weak points in your deep learning model.
By chris
•Sep 28, 2017
Fantastic course, Andrew is a clearly a leader in the field and presents a very in-depth but approachable course. Very much looking forward to RNN and DNN (modules 4 and 5).
By Stuart H
•Oct 27, 2021
This course is packed with useful tips and practical advice about issues that will arise in ML projects, making you think about real-world scenarios and how to handle them.
By Madhur S
•Aug 4, 2020
Excellent meta view of how to approach training, validation and testing which is not really available elsewhere as Andrew has actual experience of true DL projects at scale
By Luis A V
•May 15, 2020
Excellent and insightful course. The only thing I would note is that in my opinion I would not classify it as "beginner" but more of an "intermediate" level course. Thanks!
By Caleb R
•Nov 13, 2019
The course is laid out well and the videos are very clear and understandable. The instructor who creates the videos, Andrew Ng, does a very good job at explaining concepts.
By adolfo b
•Aug 28, 2019
Great course. I now have a better understanding of how to approach a project and how to make better choices on what to focus on to continue improving deep learning models.
By parag p
•Nov 1, 2018
Simply loved some of the tips shared by Prof. Andrew Ng in structuring a Machine Learning problem. The simulation Use Cases were helpful in structuring the thought process.
By Tich M
•Nov 29, 2017
This one was very rewarding. It looks simple but really challenges your mind to think strategically about how to plan and prioritize for ML projects. Really useful content!
By Andrea R
•Oct 5, 2017
This course is very important: it will lift you up from the pure coding problems, showing you how to actually develop a project, take decisions and work in a team.
Great job
By P. D V
•Sep 17, 2023
enjoyed it, and provides a more qualitative sense of how to assess machine learning projects which makes a nice complement to the other courses which has more programming.
By Alexander G
•Jan 8, 2021
Very good image about ML projects as a whole thing. Perhaps this course doesn't have any programming task, but but it has the good recomendations for building ML projects.
By VINAY M
•Jul 6, 2020
I have some knowledge on this specialization , but this course is also very helpful for individuals who do not have insights in this area. Thank you Coursera and its team.
By Yasar M
•Nov 9, 2019
Top course. However, the course could be improved by having the students actually develop some projects and facing the issues discussed in the course in some real project.
By Rabindranath A
•Nov 1, 2018
Very informative and concise. Perhaps assignments could have been a bit more hands-on, but hey, it's only two weeks course!
I learned a good set of tricks and tips. Thanks!
By Bharatram
•Apr 2, 2018
I was able to understand the important design decisions that surrounded at each stage of learning and learn about impact of errors in deciding the future course of actions
By Joanna K
•Jan 17, 2018
For me the best course of the specialization right now (I haven't done 4 and 5 part yet). There is a lot of practical knowledge. I really like Heroes of DL in this course!
By Dharmik B
•Sep 12, 2024
Gives a really good understanding of how to solve issues at different stages of ML project's lifecycle. Good for people who have spent sometime working on ML/DL projects.