RB
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Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
TM
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Excellent and detailed on how to create a convolutional neural network using TensorFlow as well as explaining how to solve problems such as low accuracy, overfitting and even improving the dataset.
By Ayush M
•Dec 8, 2020
Course Material not detailed enough and expected more from it. It does not contain enough variety in exercises and lacks a lot of concepts.
Anyone with good learning (and "overfitting") can complete 1 course in a day.
Final assignment lacked a lot of use case description and it did not even tell us anything about the data or recommended parameters for training.
By Cristián A P I
•Mar 8, 2021
There was a lot of repetition with respect to the previous course, making this one feel a bit like filler. The exercises were poorly designed: they used functionality that was not taught during the course, were badly explained and often had weird passing conditions, to the point that I felt I was fighting with the grader instead of trying to improve my code.
By Vadim K (
•Jan 16, 2022
Terrible information flow. Submissions are not connected to any real world knowledge, neither to Machine Learning nor to tensorflow. Information provided assumes that you have some knowledge of ML, so no ML information given, but if you assume so, information about tensorflow is extremely basic and not learning progress not checked properly.
By Daniel N
•Aug 13, 2020
Far to simple. Significant concepts were glossed over and the exercises were mainly copy and past from the examples. Lessons that covered a "week" took < 1 hour with a couple minor points learned. Don't recommend if you want to really know how CNNs work.
By Dhruva G
•Aug 21, 2019
The content could have been covered in 15 min. Moreover, I thought you guys will teach tensorflow low level API and estimators etc. atleast in course 2. Also, what happened to the graded assignments ? I finished this course in 40 min.
By Stephen M
•May 4, 2020
The course simply does not cover much information. The whole course could be compacted into a decent one hour lecture. Andrew Ng has some great courses on machine learning but I don't believe this to be one of them.
By Nils-Jörn
•Jul 15, 2021
I was wasting my time with small coding obstacles for setting up the data (missing hints ?!) instead of getting teached on how to implement models in various ways and how to use regularization for real...
By Markus K
•Jun 3, 2022
Again very superficial. Yet, some assignments required tweaks that were never teached (i.e. which optimizer to use when, when to use "sparse_categorical_crossentropy", etc.), which was frustrating.
By Kalana I
•Jun 5, 2021
The course material is good and the lectures are great but rating it low to bring attention to the assignments which were old and incomplete. They really need to be updated. Specially week 4.
By Klemen V
•Jan 7, 2021
In my opinion there is to little background explanation. There were errors in Programming Assignment
in week 3 and 4. I had to look in forum discussion so I could complete the exercise
By Dmitry T
•Dec 28, 2020
weeks from 1-3 were perfect.
But the programming assignment on week 4 needs to be fixed. Please add hints and examples, otherwise it is just a headache
By Jose R
•Jul 26, 2020
No enough time spend in the actual code which limits the learning on the understanding of the concepts with implementation. Doubt how useful this is
By Muhammad R R M
•Apr 12, 2021
Last exercise is so bad. It didn't even discuss about flow function, why it's need 26 last layer? isn't it should be only 3?
By Dmitrii S
•Nov 12, 2020
Absolutely awful grader. You spend most of the time figuring out errors and intentions of the grader writer.
By Matthew R
•Dec 17, 2020
Very superficial look at deep learning. A lot of the programming assignments had little to no context.
By Francisco R G
•Sep 29, 2020
Repetitive chapters, repetitive info on videos, and not very useful final test. They have to review it.
By Jin C
•Sep 27, 2019
It's too easy for an intermediate machine learning leaner, and it's little about naive TensorFlow.
By Roger G
•Oct 11, 2020
Specially in week 4, big gap between information taught in the lecture, and the last assignment.
By pouya k
•Feb 9, 2021
poorly designed exercises
poorly designed material that all could be said in just 1 or 2 weeks
By Wing P
•Sep 23, 2021
Some notable omissions of key information in instruction, but mostly the exercises suck
By Jair N
•Apr 5, 2021
The content are good, but the audio is low and the exercises are not well documented.
By Adith k
•Jun 1, 2021
very basic.
There's hardly any video time. We can finish the whole course in a day
By Seyyed M A D
•Aug 31, 2021
HWs are not well and thoroughly-thought designed (Grader runs out of memory ).
By Apoorv V
•Aug 1, 2020
Average content. The last assignment for week 4 was structured quite poorly.
By Parth
•Sep 12, 2019
coding assignment should be included otherwise it is easy to get certificate