14 de mar de 2020
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..
12 de nov de 2020
A really good course that builds up the knowledge over the concepts covered in Course 1. All the ideas are applicable in real world scenario and this is what makes the course that much more valuable!
por Renjith B•
15 de jul de 2019
Good content for classification tasks. But didn't cover anything related to object recognition, localisation and semantic segmentation which are the challenging computer vision tasks.
por Luis S•
9 de fev de 2021
The essential of convolutional neural networks is covered by this course although there ais unnecessary code in the examples and a lack of explanations especially in the assignments.
por Yuvraj G•
11 de abr de 2020
Too basic course. If its a practical course, then there should be exposure to more functionality of keras and not just the basic one which can be done from a blog/documentation.
por Ted T•
2 de jan de 2021
Lawrence's lectures were good, but exercises were disconnected from course material. Having to do exercises in Google Colab and then redo in Jupyter notebook was inefficient.
por Andrei I•
13 de fev de 2021
Too easy. One can finish all exercises without learning much. The quality of explanations is poor. The whole course is but a short walk through Laurence's Jupiter notebooks.
por Andrea B•
1 de jun de 2020
the topic is interesting, and the course is quite hands-on, but the treatment of the subject is extremely basic. Videos are too short and somehow superficial and incomplete
por Michele M C•
18 de fev de 2021
cnn implementation theory should be covered better, giving more reason why the code is written this way, furthermore the last homework of the course was bad designed
por Seif M M•
20 de set de 2020
very good course, but think it needs to go deeper in the functions and tools in tensorflow for conv netwroks, i have the feeling that the course is somehow shallow.
8 de jun de 2020
It was a great course, but in my opinion, it could have been even better if it involved more concepts & APIs to explore apart from the most in-use TensorFlow APIs.
por Ethan V•
17 de ago de 2019
Solid content, but it feels like it's not *very* much on top of the first course in this specialization. I think these two courses could be combined into one.
por Madhav A•
16 de out de 2019
The course is good for beginners as it is very basic. It needs more advance topics like Detection using TensorFlow. Have a lot of scope for improvement.
por Moeen T•
19 de fev de 2021
There wasn't enough useful content. There were also many problems with the programming assignments, specially in the last week's assignment.
por Alejandro B G•
3 de set de 2019
Google colab system for tasks is pretty bad, no control on the tasks plus it erases and u can't prove you did the work unless you save it
por ABHAS B•
9 de abr de 2020
The course content is excellent. The talks with Andrew are inspiring, but the assignment graders are aweful and a big turn off.
por Ameya D•
17 de jun de 2020
This course is more of hands on activity in tensorflow. You need to have good understanding of CNN prior to doing this course.
por Amit C•
18 de mar de 2020
Content is very limited.I wish they could have gone in-depth covered more areas of CNN like object detection ,segmentation etc
por Jingwei L•
30 de ago de 2019
The course is taught excellently. However, there are overfull file stream operations in Python that the course does not cover.
por Harri V•
26 de jan de 2021
Week 4 final assignment was quite bad, because there was new Python/Numpy stuff which was not covered at all in the course.
por Marc-Antoine G•
13 de nov de 2019
Please make the "Ungraded assignment" Graded and add more comments/directive in them to make sure we understand each steps.
por Kolpinizki S•
2 de nov de 2019
Clear explanations. Good sample codes. Too easy. Doesn't go deep enough in terms of theory. Exercises should be mandatory.
por Daniel D•
26 de mar de 2020
Pros: the course teaches CNNs clearly and concisely.
Cons: the memory issues on the last assignment wasted a lot of time.
por David H•
16 de nov de 2019
Not solid enough and the exercise could be more organised. For example: some of the data downloading links didn't work.
22 de dez de 2020
Good content. The coding and assignments need significant improvement. There is no support whatsoever in assignments.
por Sailesh G•
2 de nov de 2019
Expected a lot more in this course from the Tensorflow specialization. Something that'd take us beyond tf.keras.
por Daniel Y•
27 de fev de 2021
Disappointing. This is more like Python course. Deep Learning specialization CNN course teaches you x100 more.