AM
Oct 8, 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
XG
Oct 30, 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.
By Ayesha A
•Apr 21, 2024
Many high level concepts are not explained in details so it felt quite difficult as a newbie in Deep learning.
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 Snehitha D
•Jun 20, 2024
the concepts are a little complex and tricky and i hope there's a project by the end of the specialization
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.
By Jayshree R
•Jul 4, 2019
An intuitive approach towards Hyper parameters. Covers the concept of optimization algorithms quiet well.
By Makragić A
•Jan 9, 2019
Great lectures, I'm little disappointed with TensorFlow tutorial, there should be 1 week for that only...
By Richard H
•Sep 28, 2017
Fills in the tricky gaps in using DNN that are necessary to transition from basics to practical projects.