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.
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 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 Phatarapran 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 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 l•
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.
por Greg K•
There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions
por Cheng H Z•
Each chapter contains too less contents. Should compress the contents more so that it will be easier to navigate
por Ashiq I•
No graded assignments, need more clarifications on how the params are calculated in model summary in tensorflow.
por Sovan M•
Nice course, but the big content were coming so suddenly. So make the course bigger and give proper detaills.
por VANDANA R D•
Precise and clear. Would recommend AndrewNG's deep learning course before doing this course for more clarity.
por Md A A M•
The content was good but we are here to learn Tensorflow. Please add some content to learn TensorFlow tools.