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.
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.
por kevin E•
I have decided to reserve 5 star ranking exclusively for Professor Andrew Ng. I did a course which was learning to learn which was quite good. A course by Prof. Andrew Ng titling "learning how to teach" would do tremendously in propelling the world of data science forward.
por Yedhu K V P•
I loved this course. Although there wasn't any exercise other that quiz, this was pretty interesting and gave me a lot of ideas to try. I was wondering about how transfer learning would work before this, and now I know how it works! I am looking forward to the next course.
por Vincenzo M•
This course confirms the capacity of Andrew Ng to teach complex topics in a simple way. The course is full of advices and trick to structure and to success with machine learning projects. Suggested for people that already took courses on machine learning and deep learning.
por Ioannis K•
Having concluded the first three courses I have to note that in my opinion this is the most important course because it offers pure ml exprerience, something you cannot find easily. Moreover the simulators were excellent way to test your ability to apply all the concepts.
por Jacob S•
Even after working in the field for many years, I find that I learn something new in every video. Andrew really captures well what is important from both practical and theoretical perspectives and is a master at explaining concepts in a simple, but not dumbed down manner.
por Felippe T A•
For me, this is the best course between the first three courses of this specialization. The content here is the fruit of the experience of the professor and can not be found easily on the internet neither in books. Congratulations DeepLearning.ai for this amazing course.
por Rúben G•
I initially underestimate the value of this course. But it turns out that it gives very good insights on how to start tackling a problem with a DL mindset. Also, I learned about Transfer Learning and Multi-Task learning which I think its an amazing plus from this course.
por Elias A•
Don't let the lack of programming exercises fool you into thinking this isn't as important as the other courses in this specialisation. Professor Ng offers a summary of years of ML experience, as well as a sneak-peek of real world projects and how we should tackle them.
por Jk L•
I want to recommend this course because from it I get knowledge that can explain some of the confusions during my experience of building ML projects. I think in all probability I will encounter much more troubles if I've not got this course. Thanks, Andrew and Coursera!
por Yu X C•
Best course in the entire specialisation in my opinion. Many other courses out there teach the technical aspects of deep learning but this particular course teaches you how to think and make decisions in an actual project which can save you loads of time and resources.
por Sasirekha K•
This course is a fantastic guideline to some very real problems that I am working on in the industry. Thank you, deeplearning.ai team, for breaking down research practices into more definable steps. I already see how I can be more efficient in solving some DL problems.
por Marcel M•
This course is a solid continuum from the first two courses of this specialization. With the added twist of insider information from Prof Andrew Ng, a tried-and-tested practitioner of this Deep Learning art. The Machine Learning Simulation is pure genius! Ahsante Sana.
por Chuong N•
This is the most useful and unique course among all other materials of deep learning. It addresses the problem of trouble shooting for deep learning, which is the most daunting and mysterious. In fact, the note of this class will be a guide line for my future projects.
por John V•
Excellent course that tied together concepts I know and use in my own work -- how to think about the project, how to optimize your time and resources, how to measure success -- and mapped those to the management of deep learning projects. Very glad to have taken this.
por Amged E•
At first, I was worried because the course doesn't have any programming assignments, but just after finishing the first quiz, I realized that this might be the greatest course I've ever taken in my life (till the moment).
The quizzes were very knowledgeable & helpful.
por Badr B•
Professor Andrew Ng was astounding in the way he explained the concepts, also, like the famous machine learning course, all of the courses in this specializations were great in terms of quizzes and assignments that help have a complete grasp of the subject. Thank you.
por Gerald B•
I enjoy Andrew's approach to managing AI projects. He hits on very real issues we encounter when young, enthusiastic scientists want to solve problems with ML, but get lost in the numbers and multitude of possible next steps to take top improve the quality of a model.
por Daniel F•
Es un curso extraordinario, entrega muchos detalles que hacen ganar destrezas a la hora de entrenar nuestros modelos y el profesor Andrew Ng muestra mucho información sobre su experiencia. Creo que hace un gran trabajo y me siento afortunado de haber pddido hacerlo.
This course is a little bit hard for me, because I never heard these concept before. But through this course, I got a lot of new ideas to start my own machine learning project, and use these knowledge in practice. Thanks for the nice course and I will keep learning!
por Alejandro J M R•
Esta fase del curso es de gran importancia para saber como encarar un proyecto de deep learning con sus mejores prácticas. El proceso iterativo de desarrollo es bien explicado y te permite construir la base de cualquier tarea de deep learning que vayas a emprender.
por manideep s•
Though we learn different machine learning models to train, we might miss the logical key practices and struggle and waste lot of time while training to achieve better results. This course teaches those important practices to efficiently implement the ML projects.
Very helpful course. This course is very helpful that I got to know the things beyond the technical details of the neural network. About selecting test and dev set distribution, transfer learning, error analysis , end to end deep learning etc. Thank you Coursera...
I have learnt algorithms theory of machine learning and how to use them into data mining. However, I’m not good at ML strategy, so I can’t build a very well model. Through this course, I know many methods to improve models which I build before. Thank you very much!
por Mohd F•
Amazing Course ... different structuring strategies involving Orthogonalization, Single number evaluation metric, Carrying out error analysis, and how Cleaning up incorrectly labelled data including Transfer Learning are Beautifully explained by Andrew Ng...KUdos
por Kunal N•
The best part of this course was the "ML Flight Simulator" questionnaires (peacotopia, auto-driving). These real life examples and grading on that is the best thing. It helps you learn and interpret the concepts much nicer. I wish there were more of such examples.