AS
Apr 18, 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
HD
Dec 5, 2019
I enjoyed it, it is really helpful, id like to have the oportunity to implement all these deeply in a real example.
the only thing i didn't have completely clear is the barch norm, it is so confuse
By Nguyá»…n Q T
•Jun 21, 2020
Thanks a lot for clearly explaining of intuition about algorithms and optimizer. More ever, great design of assignment
By Avinash V
•May 4, 2020
Outstanding material. Would like to thanks Mr. Andrew Ng Sir for providing such a nice and detailed description.
THANKS
By Vivi M
•Oct 29, 2017
I really enjoyed the classes, in the training I would've liked to try and improve the model with all the tools learned
By Amit J
•Nov 22, 2019
Great practical insights.
I wish there were programming assignments on "Hyperparameter tuning" and "Batch norm" too.
By Christopher S
•Oct 25, 2019
Good intro to the available tools. Very guided course. For concepts to really stick, own projects or courses needed.
By George L
•Oct 24, 2018
it's good, but definitely not as good as the first course since Prof. Ng was not very clear on some of the concepts.
By Ruixin Y
•Apr 30, 2018
The course itself is great, but the notebook (programming assignment system) is not stable, it's annoying sometimes.
By Péter T
•Apr 17, 2018
Useful information, good intuition, but lack of formal results. More homework would improve the learning experience.
By Ashutosh P
•Apr 4, 2018
It was a great course. Really well taught by Professor Andrew Ng. Some "from the scratch" coding assignments needed.
By Suresh D
•Feb 28, 2018
I hated the tensorflow part though. Would have much preferred it if we could have moved away from jupyter notebooks.
By Francisco C
•Jul 24, 2018
Very good content overall. Very well explained and good examples. Many mistakes in the comments in the assignments.
By Abhinava K
•Dec 8, 2017
Content is good, but assignments are not interesting. Some application oriented assignments will be be encouraging.
By Julio T
•Sep 7, 2020
Very good course, all relevant and well explained. I think it just needs and update for working with TensorFlow 2.
By manish c
•Jan 23, 2020
Like all other andrew ng courses this course is also the best course to deep dive into neural network algorithms .
By Francesco P
•Feb 26, 2019
I would like to see more programming assignments. They are very well done and it'd be great to have more of those.
By Angad S
•Dec 13, 2017
I would really benefit from this course if more assignments are provided to try different data sets and scenarios.
By Christopher G
•Feb 23, 2024
Great course. Some guidance on implementing backpropagation with batch normalization would have been appreciated.
By Rahad A N
•May 13, 2020
Absolutely love the course and the way Andrew teaches us, though I have a little bit discomfort in writing codes.
By Emmanuel
•Mar 5, 2020
A little bit to theorical and with too many guidance at some points and not much at some other (for TF functions)
By Giovanni C
•Feb 11, 2019
I liked the course, but the explanation of tensorflow needs more propaedeutic introduction for a learner like me.
By Charbel J E K
•Jan 17, 2018
Really helpful ! Too much concepts to understand but only applying few in the course. I really liked this course.
By Jay R
•Dec 24, 2017
Good course to get familiar with hyperparameters and improving the neural networks. And cliff hanger was amazing!
By Mads E H
•Oct 26, 2017
Nice and practical. The assignments could go a step further in trying out different things to get better results.
By Jatin K
•May 23, 2021
Tensorflow exercise was not good , it could include some basics first. seems like only runnig it for no purpose
By Zechen Y
•Apr 12, 2020
The contents are explicit and adequate but I think It would be better if I could get more exercise about coding.