8 de mar. de 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?
13 de ago. de 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.
12 de may. de 2020
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•
6 de nov. de 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 YASH R•
7 de may. de 2020
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•
2 de jun. de 2019
Week 4 was somewhat disappointing, spent a lot of time in boilerplate codes. Was expecting to learn more about ML ideas.
por Bishmer S•
6 de ene. de 2021
Brilliant introduction to the topic sadly let down by bugs and errors in the Jupyter notebooks.
Still well worth taking.
por Jayanta S•
4 de jul. de 2020
The course in itself was great and the exercises were easy. But the sound quality in the videos should have been better
7 de may. de 2020
this lecture provides a good starting for learning Tensorflow.
there are good exercises with doing actual python coding,
por René P•
16 de abr. de 2020
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•
13 de oct. de 2019
It has more of keras and less of tensorflow. The course structure is good. A little knowledge of CNNS would be helpful.
29 de sep. de 2019
Good intro to Neural Networks, but would recommend going through other Machine Learning courses if a complete beginner.
por Phatarapran S•
9 de ago. de 2020
Some theories arent explained but overall, as a student, I obtained some experience on making a NN model by tensorflow
por Noel B•
21 de oct. de 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•
16 de jul. de 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•
25 de abr. de 2019
Very easy to understand the contents especially using the high level API such as Keras. Very recommended for beginners
por Aviral T•
6 de may. de 2021
such a nice course to learn about tensorflow. i used these knowledge o enhance my technical skills as a ML programmer
por AADITYA K•
20 de dic. de 2019
Good course for beginners. Althoug best resuts will be for those who have come through Andrew Ng's inintial DL course
por Carlos R•
20 de mar. de 2020
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•
27 de dic. de 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•
5 de sep. de 2019
Very beginner friendly. Evaluation task could be a little more challenging than just copy-pasting the example code.
por Radoslava M•
27 de ago. de 2019
It is good, only it starts very basic and later assumes a lot of previous knowledge. But overall very informative.
por Alexander B•
17 de mar. de 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 Greg K•
13 de abr. de 2020
There are some issues with code in the graded Juypiter notebooks that keeps the grader from compiling submissions
por Cheng H Z•
16 de dic. de 2019
Each chapter contains too less contents. Should compress the contents more so that it will be easier to navigate
por Ashiq I•
28 de may. de 2019
No graded assignments, need more clarifications on how the params are calculated in model summary in tensorflow.
por Dennis K•
10 de ago. de 2021
The course is a great recommendation for those interested in improving their AI, ML skills through tensorflow.