XG
Oct 31, 2017
Thank you Andrew!! I know start to use Tensorflow, however, this tool is not well for a research goal. Maybe, pytorch could be considered in the future!! And let us know how to use pytorch in Windows.
AM
Oct 9, 2019
I really enjoyed this course. Many details are given here that are crucial to gain experience and tips on things that looks easy at first sight but are important for a faster ML project implementation
By 胡青翘
•Jul 10, 2019
I hope you guys could improve the hardness of the programming assignments. They seem to be a little easy compared to quizzes.
By sudheer n
•Jun 17, 2019
As usual, Andrew Ng has explained the concepts in the simplest way possible. A little work outside the course can help a lot.
By Arpit J
•Dec 17, 2018
This course gives a thorough intuition about the hyperparameters and how to regularise them. Brilliant work by Andrew Ng sir.
By Mahesh
•Sep 16, 2018
Appreciate the course videos. They dont demand prior knowledge of machine learning.
The assignments gives hands on experience.
By Shravankumar S
•Jun 29, 2018
I loved this course. Assignments played a very important role in my learning, as i learned a lot by getting my hands dirty :)
By Xiaoyuan C
•Oct 28, 2017
The greatest course I have ever taken! So grateful to Andrew and your team to make the studying so interesting and rewarding!
By Bilel B
•Feb 5, 2021
De nombreuses techniques très utiles pour accélérer l'apprentissage de son réseau de neurones et éviter le sur-apprentissage
By Prem O
•Oct 25, 2020
The course helped me get a better understanding of different optimizers and how to handle the hyperparameter tuning process.
By Pedro V
•Jun 5, 2020
this course is very good to introduce you to concepts such as hyperparameters optimization and frameworks such as Tensorflow
By Vimal P S
•May 15, 2020
Thanks Andrew Sir for creating such a good content and I hope that this would help me in my voyage along the massive AI sea.
By Marc M
•Apr 29, 2020
Muy buena y muy útil la practica esta bien aunque creo que lo de tensorflow es muy útil y quizás debería tener más presencia
By Augusto R
•Apr 4, 2019
Thanks to this course I will now be able to improve the performance of my neural network in a more efficient way. I loved it
By James G
•Jan 13, 2019
The focus on building "intuitions" behind the math has been a refreshing approach to learning material like this. Thank you!
By YiXiang Z
•Dec 31, 2018
Very good introductory material on regularization and optimization. Also introduction to tensorflow as frameworks is spot-on
By Pedro H
•Dec 6, 2018
Great follow up course in this specialization, which introduces critical concepts to improve and design your neural network.
By Khoo T S
•Nov 14, 2018
Great course. I've learnt a lot on hyperparameter tuning and optimization strategies. The Tensorflow makes coding simpler :)
By Colin F
•Jun 26, 2018
Andrew does an amazing job of explaining the intricate level of math in a subtle manner. It is a must for advanced learners.
By Pier L L
•Dec 31, 2017
Good course with excellent rules of thumb and principles to improve your DL performance and your parameter tuning procedure.
By Ye W
•Nov 2, 2017
Andrew did a great job in explaining the intuition behind optimization algorithms such as SGD, SGD with momentum, Adam, etc.
By David F
•Oct 5, 2017
Good pace, thoughtful video instruction, and helpful assignments. Even without a CS background, the concepts were very clear
By Kazutoshi S
•Oct 4, 2017
I think there are some typos in assignments but this is the most useful course for learning Tensorflow modules on the earth.
By Harshit S
•Dec 10, 2020
It really helped to brush up my deep learning concepts and I always enjoy learning from Andrew's lectures.Thanks Coursera!!
By Learner
•Sep 22, 2020
Very good and learning from scratch is very exciting to work on. Thanks Andrew and team for this wonderful course materials
By Talha K
•Jul 24, 2020
As always, deeplearning.ai and Andrew Ng had prepared an amazing course. I am aiming to get all the courses they published.
By Gilad R
•Aug 11, 2019
Excellent simple but comprehensive explanations. Structured progress, with just the right duration for lectures. Thank you.