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 Tongxi L•
good introduction, but only introduction is not practice, just classifier from tensorflow dataset is not helpful for real problem
por Shester M•
Some comments weren't well adjusted.... Seems the team was a bit lazy during the last week Programming Assignment Documentation.
por Chaitanya R•
Everything is good but can do better if the instructor can give a gist about the various functions being used like softmax, etc
por Vignesh N K•
Really good introduction provided for tensorflow. A little more depth if provided for tensorflow concepts would have been good.
por helly j•
Good course to start tensorflow if you have no prior experience. Content is nicely organized and gives a overview of the topic.
por Dimitry I•
Nice course. Gives you and overview of building neural networks. Touches on many subjects, but doesn't dive too deep into them.
por Thomas M•
Would prefer to build code from scratch every time rather than use pre built notebooks. Otherwise well paced and I enjoyed it.
por Глотов А С•
The course is good for understanding Keras API, but lacks of explanation of what backpropagation is and other important stuff.
por Subhendu R M•
This course is very helpful in getting a quick intro to the TensorFlow framework if you already know basics of Deep Learning.
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.