EL
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The instructor was beneficial in delivering the course in a byte-sized format. Furthermore, the problem-based approach was a bonus, because I feel like earning the certificate was definitely worth it
JC
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I just can say that it was an awesome course. The instructors as well as the contents were clear, easy to understand and everything with a focus on how to take the theory and apply it with TensorFlow.
By Philip V j
•Apr 3, 2020
good
By Shi-Hong L
•Feb 14, 2020
GOOD
By zhenzhen w
•Nov 18, 2019
nice
By M n n
•Oct 10, 2019
Gr8!
By guike s
•Sep 26, 2019
good
By Jurassic
•Sep 6, 2019
good
By Rupsa R
•Jul 4, 2019
Good
By Nazarii N
•Jun 25, 2019
cool
By Dr S P
•Jun 20, 2019
good
By Sui X
•May 26, 2019
good
By Ankit K
•Apr 21, 2019
good
By Ashok R A
•Apr 3, 2019
Good
By Mohamed M
•Sep 30, 2020
<3
By Keshav B
•Jul 12, 2020
<3
By Srijeet C
•Mar 30, 2020
N
A
By Ming G
•Aug 16, 2019
gj
By Erazo M J S
•Nov 26, 2023
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By Myungjin K
•Jul 28, 2021
By Anirban S A
•Jul 19, 2021
By Kismat K
•Apr 24, 2021
l
By Rubén M
•Aug 27, 2019
I
By Raman M
•Aug 4, 2019
i
By R H
•Sep 13, 2019
Great introduction to using Tensorflow to implement convolutional networks.
I took the Stanford course by Andrew Ng first, so many of the concepts were very familiar - in some cases, the detail was just a little bit shallow - probably to avoid interfering with getting on with implementation - but this course certainly had references outside the course to some more detailed information on topics like how convolutions help identify features or the learning factor.
The jupiter notebooks were great in that you don't need to worry about the environment much - it's already set up - a big worry for me for many of these types of courses. But there were quirks, and a few times I (and some of the other students) could get tripped up for a little while. If you are a developer like I used to be, then troubleshooting and debugging environment/code issues is a small hurdle though.
Kudos to the instructors and those that set up the course - this is otherwise very hard material to teach and set up good "hands on" evaluation, which they did really well, a couple kinks aside.
By César R P
•Aug 19, 2020
The course is a great introduction to the use of tensorflow. Keep in mind, this course is a practisioners guide to Deep Learning, so there's not much theory involved, you just get an intuition to how things work. I'd say this is a great start to the specialization, which I feel will probably compliment Andrew Ng's specialization greatly (that one delves into the theory, but the code you make isn't really what one would use in day to day ML projects).
The only thing I didn't like (why I docked a star) where the programming assignments. Too easy, and the autograder barely checks anything. You need to explore thigs by yoursefl and be disciplined, as the programming excercises let you get away with anything. That said, that seems like it only happens in this first course (maybe as a way to encourage people to keep moving forward), and the excercises get better in what I've seen of the next course.
All in all, great course. Mr Moroney is one of the best teachers I've ever see, and communicates his knowledge and pasion with great ease.