Mar 09, 2019
Good intro course, but google colab assignments need to be improved. And submitting a jupyter notebook was much more easier, why would I want to login to my google account to be a part of this course?
Aug 14, 2019
Great course to get started with building Convolutional Neural Networks in Keras for building Image Classifiers. This is probably the best way to get beginners into Deep Learning for Computer Vision.
por gu t•
Aug 30, 2019
too easy for experienced programmer, only introduce keras instead of full tensorflow api, it will helps if an advanced course can be offered.
por Samarjeet K•
May 30, 2019
It was a pretty amazing course. Beginner level, not course heavy . Being a beginner, I didn't even for once feel tuned out or lost interest.
por MADHU M S•
Apr 28, 2019
This course helped me lot as beginner.The only thing is why the assignments were still marked as unfinished even though i have finished it.
por Allan A D•
Apr 08, 2019
It is a good intro for CNNs and Keras+Tensorflow, but it felt too basic. Also, adding some projects would've raised the challenge a bit.
por PURUSHOTTAM Y B•
Nov 07, 2019
Loved it a lot nice course give intro to deep learning ,ai ,ml using tensorflow
Most loved part is the assignment and completing it
por Boelo N•
Nov 02, 2019
I appreciated the bite-size introduction of the concepts involved. It has given me the confidence to handle more complex concepts.
por Ana E H H•
Jul 16, 2019
I learned a lot about image processing, TensorFlow and CNN.
The exercises are useful to practise the coding and concepts.
por Tongxi L•
Jul 02, 2019
good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem
por Super-intelligent S o t C B•
Jul 31, 2019
Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.
por Maad S•
Aug 22, 2019
The course is very well set for learning it give full experience of learning and the course instructor is very great teacher
Aug 19, 2019
I faced many problem with the grader. Please fix it. You can see from the forum that are many people facing problem with it.
por Clay B•
Jul 16, 2019
Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.
por Dirk H•
Nov 06, 2019
The class is good for persons who are new to Data Science and want a practical entry but does not go very deep into theory.
por Shabab H•
Jun 02, 2019
Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.
por Mayukh S•
Oct 13, 2019
It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.
Sep 29, 2019
Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.
por Noel B•
Oct 21, 2019
The content of this course is fantastic. The only reason for a four-star review is due to the troublesome auto-grader.
por Kofi D A•
Jul 16, 2019
Always amazed at what coursera has to offer..if anything it has given me purpose as to what i want to pursue in future
por Franky L C H•
Apr 25, 2019
Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners
por Aaditya K•
Dec 20, 2019
Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course
por Pooya N•
Dec 28, 2019
I thought this course is more focused on the basic elements of TensorFlow, but it was very heavy on computer vision.
por Daniel P G•
Sep 05, 2019
Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.
por Radoslava M•
Aug 27, 2019
It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.
por Alexander B•
Mar 17, 2019
I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.
por Cheng H Z•
Dec 17, 2019
Each chapter contains too less contents. Should compress the contents more so that it will be easier to navigate