ED
Aug 22, 2020
Excellent start for digging into topics that are not taught nowhere else. The author books 'Machine Learning Yearning' is a great next read that goes deeper in some of the aspects, really recommended.
MG
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.
By Kranti A
•Mar 8, 2018
Very well structured course, understands better and improving my skills much more further in this course. Learning a lot.
By Ayush T
•Feb 3, 2018
It's a another great course from the deeplearning.ai. This course is really helpful in managing my deep learning project.
By Shivam K
•Sep 5, 2017
Awesome insights to starting and structuring a deep learning problem. Must see for even experienced people in this field.
By Guru P B
•Mar 25, 2021
got very fruitful knowledge about how to structure ML projects but still 'how to structure experiments' part is missing.
By Rishikesh B
•Sep 8, 2020
Really helpful Course in being able to decide parameters around my on-going College Project on Food Calorie Estimation..
By Krishnan R
•Aug 28, 2020
Very good case studies in-line with concepts taught in the course. Very good Extract of real life project experience .
By Shankar P
•Aug 22, 2020
Prof. Andrew Ng is so awesome, so much useful to strengthen foundations and first principles along with solid intutions.
By Nikhil R
•Jun 12, 2020
This is a great way to learn to make choices for solving machine learning problems. Should have more quizzes like these.
By Lim Z Y
•Jun 10, 2020
Its a good course to build the basic knowledge what you should have before starting the implementation of deep learning.
By Vitor A
•Apr 22, 2020
Very explanation of training sets, dev sets, test set. How to create strategy for creating a Machine Learning algorithm.
By zheng
•Feb 14, 2020
Great course! I learned a lot of best practice on how to structure a ML project, from metric defining to error analysis.
By Hector L
•Jan 21, 2020
This was a short course, but it was packed with first-hand knowledge of the industry. I enjoyed the quizzes/simulations!
By Jenny C
•Jan 1, 2020
The speed of a couple of video's (e.g. End-to-end deep learning) seems to be accelerated, which appears a bit unnatural.
By Stefan S
•Dec 27, 2019
Very good complement to the first two courses on deep learning, a lot of useful tipps on machine learning understanding.
By Karthikeyan T P
•Dec 4, 2019
Highly recommended. Gives deeper insights into how a real-time project would be like and how to deal with the situation.
By Namburi S
•Nov 19, 2019
It helped me a lot to understand the subtleties related to data structuring before even worrying about the architecture.
By yesid a c m
•Nov 3, 2019
Muy bueno, pero podrÃan profundizar un poco más en los comentarios que hacen en cada pregunta después de ser calificada.
By Karan S
•Sep 2, 2019
One of my best experiences every with DeepLearning. The quiz questions helped a lot to understand real world challenges.
By Harish J
•Jul 20, 2019
Professor Ng gave a very good explanation on how to approach ML projects step-by-step. The quizzes are also really good.
By Jakub V
•Sep 23, 2018
Lot's of practical advice. Revising the questions / answers in the quizes could potentially further improve the quality.
By Matt C
•Nov 25, 2017
another excellent series of information about deep learning. The entire course has been great and I recommend it to all!
By Haedar h
•Feb 26, 2024
It's just great to learn from someone like andrew, he gives you a great intuition about all the concepts in this field.
By Abhijeet N
•Apr 9, 2023
It helped me develop my intuition skills when faced with the real world ML related problems still waiting to be solved.
By G H K
•Oct 19, 2022
I was able to finish it faster than normal. This was very practical and relatable for me because of my job experience.
By Manuel J C S
•Dec 30, 2021
Pretty good course, it can show you how to make some decisions that you probably faced before and took the wrong ones.