1 de dez de 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.
30 de mar de 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.
por Abhinav P S•
2 de jul de 2020
The course was nice, and though I initially felt it a bit over-extended with just examples, I find that it helps to gain a deeper insight into structuring the machine learning models.
por Jaffer K•
20 de jan de 2020
Interesting learning different metrics which can be used to identify problems in Machine Learning Projects in order to avoid wasting large amounts of time and energy on wrong metrics.
por Anand K M•
13 de fev de 2018
A very useful and intuitive course for understanding how to improve a model for different projects and situations. Once again, many thanks to Prof. Andrew Ng for building this course.
por Prashanth S•
28 de dez de 2017
Found this course very relevant to me as a newbie. I think following the guidelines mentioned in the course will avoid lot of common mistakes made by many freshers in the field of DL.
21 de nov de 2017
Professor Andrew Ng explains very clearfull in detail about challenges regarding deep learning products development and how to face them using systematic approach. Strongly recommend!
17 de out de 2017
This is exactly why I took this course: to hear about things that you do not read very often, about machine learning practical problems and how you can solve them. Really interesting!
por akshay b•
29 de set de 2017
A very practical and unique course exploring various real life aspects of machine learning applications.A must for someone who aspires to solve real life problems using ML algorithms.
por Christian B•
24 de set de 2017
This course gave a nice overview on systematically tackling machine learning tasks and problems. The "flight simulator" quizzes were very helpful in understanding the course material.
por Omer M•
14 de nov de 2020
This course is nicely structured, and contained many important information
The teacher delivered the course in a very simple yet highly informative and understandable way
16 de mar de 2020
Highly helpful course. The videos of this course improve the insight of machine learning / deep learning tasks. I will refer to the theories that I learned in this course every time.
por Lois A L•
21 de jan de 2020
This is phenomenal. I was working as an undergraduate student researcher in two different projects right now and what was discussed here really gave me the eyes that I really needed.
por Hiten S•
3 de out de 2019
this course helps me how to create a plane of the machine learning project for my team and also individual project like the use of transfer learning and multi-classification problem.
por Nicholas Y•
20 de jun de 2019
Great way to understand step by step all important aspects of creating a machine learning project. Finding out what problems can be faced while creating a model and ways to fix them.
por Brian B•
22 de out de 2017
This course was filled with practical advice to quickly build, iterate on, and improve ML models. It's more directly relevant to real-world ML work than any other course I've taken.
por Roxana N V•
8 de out de 2017
Best ever course in deep learning. By this far, you should have strong foundations about working deep learning, and this course helps you to master the ML strategy for your projects.
por Muskan G•
23 de dez de 2019
Short and crisp course. It was very informative to learn how to do error analysis on practical machine learning projects. I also really enjoyed the unique assignments in the course.
por abhishek h•
4 de jun de 2019
Great course. All errors explained nicely.Covered mismatched data distribution very well. Also transfer learning, multiple task learning were explained nicely. Overall great course.
por Manuel A•
5 de mai de 2019
Review of techniques and strategies. Very interesting. As there is no programming assingment, I would advice to add some Keras-TF lessons to be ready to tackle the following courses
por Ka W P N•
9 de mar de 2019
Well structured course. Worth spending the time watching all the videos to get a full picture of what are the key things that really matter when planning and launching the projects.
por Line C•
10 de jul de 2018
I loved the idea with the case studies to flight simulators. This is a very useful way to practice working with machine learning problems in short time and in a classroom situation.
por Varad M•
21 de mai de 2018
A very informative and interesting course. It describes the project management aspect of an ML project which is rarely taught or spoken about. Thanks Andrew for this amazing course.
por Federico S•
30 de jul de 2020
The course is well designed. The hints Andrew gives are really useful and interesting. I'm taking the whole specialization and it seems to be really useful. Thank you so much guys!
por Prof P•
27 de jul de 2020
The courses keep getting more interesting! There is a lot of subtly to deep learning as you go towards a management level apparently. Many different problems with unique solutions.
por Nishant S•
23 de dez de 2019
An excellent course the reason for me telling this, actually I thought it wasn't so important course in this deep learning specialization. It turned out as one of the important one