JS
Apr 4, 2021
Fantastic course and although it guides you through the course (and may feel less challenging to some) it provides all the building blocks for you to latter apply them to your own interesting project.
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
By Dilip V
•Apr 29, 2020
This Course Helped me a lot in learning how to get best-optimized models by tuning Hypermeters.I really like it
By Joshua S
•Nov 13, 2019
A good course that provided more intuition on which models to work with and how to tune parameters effectively.
By Aayush A
•Aug 3, 2019
The Jupyter notebooks had a lot of mistakes which wasted a lot of my time otherwise the course content was good
By Corbin C
•May 10, 2018
Good lectures, but the jupyter notebook examples are inconsistent and sometimes use deprecated Tensorflow code.
By Srikanth C
•Oct 1, 2017
I particularly benefited from the explanations of dropout, batch normalization and the RMSProp/Adam optimisers.
By Arran D
•Jun 12, 2023
Despite completing the course, I feel there is much more that I could be tested on to cement my understanding.
By Narendran S
•Oct 1, 2017
TensorFlow needs more time dedicated to it. I didn't completely understand the concepts behind this framework.
By Arun J
•Sep 16, 2017
really loved the course material but would have loved it more if it gave more in depth tutorials on tensorflow
By Hector D M P
•Sep 2, 2017
Nice and clean; with nice focus in the framework; but they also could be more in depth regarding the exercises
By Crack I
•Jan 20, 2024
Great course by Andrew. The exposure and the length of what I had to learn changed the circuitry of my brain.
By Samuel C
•Sep 27, 2021
Some of the programming exercises weren't as polished as part 1 of this specialization. Still great overall!
By Shailesh
•Apr 3, 2020
Really helpful in terms of practical application and tricks/tuning for DNN. Also starts on TF which is bonus!
By Ramanjee M
•Aug 20, 2017
Quizes as part of middle of lectures help to check the understandings. For many lectures quizzes are missing.
By Pabbisetty S R
•Jul 5, 2020
explanation is very good but assignments need to be done comletely by student not like filling missing parts
By Rohit G
•Mar 26, 2020
The tensorflow portions need to be updated. Otherwise it's a great module, building on the previous courses.
By Ryota M
•Mar 21, 2018
-1 : Serveral bugs inside the assignments, causing 0 grades in auto grader
That said, a perfect intro to DNN.
By Qihong L
•Oct 1, 2018
sometimes the teacher speaks too fast to follow, but the content itself is very good and easy to understand
By Donguk L
•Nov 25, 2017
Maybe providing some video or reading resource for back propagation processes for batch norm would be good?
By Mozhdeh S
•Mar 21, 2022
I needed more foundation for understanding tensorflow programming. However, I learnt a lot in this course.
By Parjanya P P
•Jun 23, 2020
The answer in the last assignment was wrong, wasting a lot of my time. But otherwise the course was great.
By Aaron E
•May 4, 2019
its a good intro, if not a little simplistic with the coding exercises, bring back the quizzes mid lecture
By Alex S
•Dec 11, 2018
A small validation output error that is still not fixed prevent to rate all stars for the exellent course.
By 苑思域
•Aug 3, 2018
This one is actually a little bit better than the first one, maybe less content, maybe more understandable
By Leitner C S E S
•Aug 29, 2017
Excellent course. But -1 for using TensorFlow, a not-really-free framework, to introduce students to them.