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 Mikołaj M
•Oct 12, 2020
The course covers elementary techniques.
By Victor S
•Sep 4, 2020
Useful course. Just a bit unstructured.
By Param O
•Jul 30, 2021
The grader keeps running out of memory
By Bojiang J
•Mar 7, 2020
Content too easy and not engaging....
By Jorge E
•Sep 22, 2021
Se repiten varios temas del curso 1
By Aymen M
•Mar 20, 2021
The last assignment is malformed
By Navid H
•Sep 15, 2019
I wish it had real assignments
By Samyak J
•Aug 2, 2020
exercises are not very clear
By Paula S
•Apr 6, 2020
course is a little too easy.
By Pallavi
•Mar 12, 2020
It was not great and good
By Ethan
•Apr 12, 2020
A little bit too easy.
By Luiz C
•Jun 11, 2019
not challenging enough
By Victor M
•Mar 19, 2020
Contenido superficial
By Igors K
•Oct 26, 2019
I wish it used TF2.
By Mas V
•Aug 21, 2019
Useful but too easy
By Ruxue P
•Oct 14, 2020
Too little content
By Gerard C I
•Nov 20, 2019
to much shallow
By Rob S
•Sep 3, 2020
Good course
By Nechi A
•Nov 29, 2020
too basic
By Mohammed I A T
•Sep 21, 2020
just ok
By Thomas R
•Feb 8, 2021
Materials were good for someone who has taken university courses on convolutional networks, but labs were extremely poorly done. Final lab of the course was missing sections for the data generator flow method calls, and augmentation wasn't even tested for. Marker could be improved and provided code can have better sections and maybe an explaining markdown at the top rather than going back and forth. I also noticed that accuracy changed from logs.get('acc') to logs.get('accuracy') which seems to be a tensorflow version issue. I feel overall like the course has been abandoned.
By Li P Z
•Jan 19, 2020
If you have taken Andrew's courses in ML or deep learning, you will be disappointed. The amount of content in the videos and exercises is shrunk down by 75% per week. I think a much better job could have been done of structuring the course, and creating meaningful exercises. The instructor does an OK job of showing you how to use TF, but he doesn't always explain things very clearly, and doesn't always have an accurate understanding of how ML or deep learning works.
By 黃文喜
•Jun 7, 2020
Content is really useful, but the assignment is really really bad and not user friendly(actually it drives me crazy). For example, instruction is not clear, parameter is outdated(still use 'acc' for accuracy?), assignment cannot be graded not because of modeling. These inconvenience obscure of the importance of learning CNN in TF. For this reason I don't think this course worth more than 3 stars.
By Rishi R
•Jul 26, 2020
This course could have covered many more topics in detail, like visualizing individual layers, performing style transfer, saving and loading models, etc. All these were skipped and weeks were wasted on a simple extension of a small concept (image augmentation and multi-class learning) which anyone who glanced at the Keras API could have learnt. I am disappointed at this course frankly.
By Tran N M T
•Jul 5, 2020
Really a bad course. Most of the materials can be found online for free on TensorFlow official documentations. Many practices are outdated. Problems with the coding assignment are a nightmare. There is no supervisor to answer many common questions. The code grader checks for very particular things and instructions were not clear at all. In general, this is a pretty bad course.