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?
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 Maad S•
The course is very well set for learning it give full experience of learning and the course instructor is very great teacher
por Saeif A•
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•
Decent overview, doesn't go too far in depth in anything - provides some links to deeper material but doesn't touch on them.
por Meet D•
I learned overview of TensforFlow librarby and convoluation layer. Know about classification in computer vision application
good set up of examples that allow you to go from the simple case to more advanced cases. a good start point for beginners.
por Dirk H•
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 YASH R•
Week 4 was not explained as good as other. I still face the problem with the cocept of week 4. Rest everything is great.
por Shabab H•
Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.
por Bishmer S•
Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.
Still well worth taking.
por Jayanta S•
The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better
this lecture provides a good starting for learning Tensorflow.
there are good exercises with doing actual python coding,
por René P•
Had some problems with the automated graders. I had to remove two JS cells from each exercise to get a correct grading.
por Mayukh S•
It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.
Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.
por Newbie S•
Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow
por Noel B•
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•
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•
Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners
por Aviral T•
such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer
por AADITYA K•
Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course
por Carlos R•
In general the course was nice. I just got some issues dealing with TF 1.x and 2.x. Anyway, I recommend this course.
por Pooya N•
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•
Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.
por Radoslava M•
It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.
por Alexander B•
I liked the course as it is practice oriented, but 4 weeks is too long for it. 2 weeks would be more than enought.