Apr 19, 2020
Very good course to give you deep insight about how to enhance your algorithm and neural network and improve its accuracy. Also teaches you Tensorflow. Highly recommend especially after the 1st course
Jan 14, 2020
After completion of this course I know which values to look at if my ML model is not performing up to the task. It is a detailed but not too complicated course to understand the parameters used by ML.
교육 기관: Kate S•
Mar 07, 2018
Excellent material! There was one error in the last assignment that cost me a lot of time. Please fix that. Otherwise, very useful programming assignments.
교육 기관: SUNIL D•
Jul 07, 2019
Very Good Course to understand Step by Step
Hyperparameter tuning, Regularization and Optimization to improve Deep Neuaral Networks & Practical Assignments !
교육 기관: Hanqiu D•
Aug 10, 2020
Great course and great teacher. The skills in this course is very practical. But I think the assignment should use tensorflow version 2 instead of version 1
교육 기관: Zachary Z•
Mar 26, 2020
Learned a lot about tuning and different frameworks. Definitely math-intensive and more of a brief overview than a deep dive of these techniques and tools.
교육 기관: Rekhawar N N•
Dec 14, 2019
improving Deep Neural networks :Hyperparameter tuning,Regularization and optimization course was amazing! thank you so much coursera and Andrew Ng sir! :))
교육 기관: Alex C•
Sep 24, 2017
Please offer a lecture note in detail instead of just ppt shows for each class video, not to mention that some are missing which is inconvenient to recap.
교육 기관: Muhammad B A•
Jun 25, 2018
Great material and lectures. Would've preferred slightly more comprehensive exercises though, and more on tensorflow(any deep learning framework) as well
교육 기관: Francois-Xavier•
Dec 18, 2017
The tensorflow programming assignment was a little too easy. It turned out to be more or less of a copy paste work without having to look at the TF docs.
교육 기관: Behrad K•
Jul 26, 2020
The content was perfect but last programming assignment was excruciating! But I thank everyone involved in making this course, it was unbelievably good!
교육 기관: Flaviu I V•
Apr 07, 2018
I feel like the second course was better then the first one. But there are a couple of typos in some assignments and the assignments are still too easy.
교육 기관: Mark M•
Oct 30, 2017
The intro of hyper parameters was from mathematical point of view as good as the basics of week 1, however practical relevance becomes not really clear.
교육 기관: Stephan W•
Sep 02, 2017
As always - excellent lectures by Andrew Ng. However, I think that the programming assignments tend to be a it too easy and a bit too much "copy/paste".
교육 기관: Sergey•
Oct 06, 2019
I wish prof. Ng provided more intuitions into underlying math particularly why gradient optimization techniques help. But like it anyways, very useful!
교육 기관: Anthony•
Nov 08, 2017
Great material, few minor errors that need fixing throughout. Noted in forums. I expect this will improve as more take the course and feedback applied.
교육 기관: Hair P•
May 17, 2020
This course has to be updated!!!!! TF 2.0 is what we are using now, and especially for new users, it is important to start from the newest frameworks.
교육 기관: Isaac S•
Nov 27, 2019
I missed in the course an explanation and possibly a programming assignment of different tuning algorithms, such as random search and Bayesian search.
교육 기관: Rajeev D•
May 25, 2020
The coverage on the subject was adequate but it will really help to make a pdf supporting document to highlight the hyper parameter tunning approach.
교육 기관: James D B•
Jun 23, 2019
Probably a little too follow your nose at this point in the specialisation. But none-the-less very good. Would give 4.5 stars if that were an option.
교육 기관: Christoph S•
Mar 03, 2019
Still some flaws + inaccuracies + video sequences that should be cut out. I think the organizers should really do it as people are now paying for it!
교육 기관: Teodor C•
Dec 28, 2018
Last Tensorflow assignment has some output typos and bugs when using operators like @ and +. Course was ok, but that assignment took me way too long.
교육 기관: HongZhang•
Jun 14, 2018
Great course to deepen my knowledge after first course. However, I would like to access more programming exercise for practice. That will be perfect!
교육 기관: Daniel E B G•
Aug 26, 2019
I think this course would benefit from a little more explaining. There are a lot of new concepts and some explanations were too quick in my opinion.
교육 기관: Stephen R•
Oct 26, 2018
Enjoyed this course, especially the material that goes a bit deeper (different optimization methods, parameter tuning) and the intro to TensorFlow.
교육 기관: Huang C H•
Nov 24, 2017
Less exciting than the first course, but this course is important to understanding the parameters that could affect a neural network's performance.
교육 기관: Youssouf B•
Apr 22, 2019
what I did recognize in the deeplearning specialization that there are now further reading suggestions or reading syllabus like the other courses.