Mar 30, 2020
It is very nice to have a very experienced deep learning practitioner showing you the "magic" of making DNN works. That is usually passed from Professor to graduate student, but is available here now.
Nov 22, 2017
I learned so many things in this module. I learned that how to do error analysys and different kind of the learning techniques. Thanks Professor Andrew Ng to provide such a valuable and updated stuff.
By John E M•
Mar 31, 2018
I appreciate the review and hints on structuring ML projects. Just seemed a little lacking on the meat and potatoes of real practice.
By Saurabh D•
Aug 26, 2020
Now I know what is Machine learning and its parts eg deep learning. The curse cleared the basic structure for machine learning to me.
By JEREMY S•
Jun 7, 2020
Interesting to understand how to manage a problem during a ML project, really good trick and tip! Thanks Andrew and deep learning.ai!
By Alhasan A•
Jun 1, 2019
It would be more useful to give explanation why an answer is correct and others are wrong, such details enhance our learning so much.
By aditya g•
Feb 21, 2018
Machine Learning Simulator & course contents well prepares you to how a machine learning project should be structured and approached
By Chee H H•
Nov 24, 2017
Probably the least exciting of the five. This is a short course on how to approach machine learning projects, as the title suggests.
By Priyanka T•
Oct 22, 2017
I thought this course was great content wise, but needs to improve on the errata in the content (repeated video sections), and quiz.
Feb 1, 2018
I think it should be useful but since I haven't got many practical experience, the course seems a little bit hard to catch up with.
By sushant p•
Jan 11, 2022
Insight into how a model should be built and improved upon is really underrated. this course does emphasize on this, I enjoyed it.
By ahmed B•
Sep 20, 2021
It was a great course, but it lacks programming assignments and the quizzes were great (I really miss the programming assignments)
By Zheng Z•
Apr 25, 2019
I think a little bit more programming homework can help me better understand the concepts, but other than that everything is good.
By Giovanni C•
Feb 13, 2019
It's a good course to gain an initial understanding on the role that different real-world considerations play in Deep Learning NN.
By Daniel C K•
Sep 8, 2017
Good course, covering interesting topics. Seemed too easy without enough content to make you feel like you mastered the subjects.
By Prithvi M•
Apr 18, 2020
The course was very helpful. But I found some concepts to be repetitive. But it helped me to understand how to tackle the errors.
By Eche I•
Oct 28, 2018
Very good insight on how to approach machine learning projects and the kind of things to look out for and tackle as they appear.
By Hristo B•
Sep 2, 2018
It gives guidance on how not to waste your team's time - quite valuable. There are some slight inclarities in the test questions.
By Elias F•
Dec 24, 2017
This course helped me understand the basic ideas behind deep learning and how to close the understanding of the previous courses.
By Caio B•
Aug 4, 2020
No programming exercises in this course....Programming exercises helps to fix what we've learn. Overall, very good course though
By Jesse S•
Nov 5, 2017
Nice "flight simulator" approach, taking students to advanced strategic decision-making directly, bypassing years of experience.
By Qian N•
Oct 7, 2017
I wish there were more simulations (quizs) since this course aims at improving project structuring. 2 quizs are just not enough!
By Cristhian S S•
Jun 18, 2020
me agrado, pero no tanto como lo demás cursos de la serie, lo debieron poner entre los otros capitulos.. :) igual estuvo genial
By Duhai A•
Mar 23, 2020
Rather less coding in this course. However, if you are about to embark in ML project, the advice you will get here is valuable.
By Kailash C•
Mar 15, 2020
More examples other than speech recognition and self driving car would have been useful. Multitask learning was not very clear.
By Jun W•
May 16, 2019
This course is mainly about the concepts. But it makes me know why and when I can use pre-trained models and transfer learning.
By Parth P•
May 22, 2019
This course is absolutely for who is coming out to structure the projects and research the tuning the Machine learning models.