I just can say that it was an awesome course. The instructors as well as the contents were clear, easy to understand and everything with a focus on how to take the theory and apply it with TensorFlow.
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?
por Jiaming W•
Lots of practice and visualization, machine learning is friendly explained in this course.
por Hanan S A•
The course is very well organised. I enjoyed working on the programming exercises.
por Sergey A•
The lessons are clear and easy to follow. Great basic course to start with.
por Suddhaswatta M•
Please add learning rate reduction in basic course.Thanks !! in advance
por Frank L V•
This was great. I can't think of two better presenters for this topic!
I think it is pretty good to people who are not familar with keras
por Abhijeet M•
I really enjoyed this course and learned a lot from this course.
por LAKSHMI V•
Good understanding of CNN by linking Andrew Ng teachings
por Samarendra P•
Excellent set of videos and practice assignments!
por Jui W•
This is a very nice introduction to Tensorflow.
por Min H S•
Thanks for awesome lectures.
por Ahmed S•
Good Course but too short!
por Juan A•
Another Amazing Course :)
por Jun W•
Brief and interesting.
por akash k d•
Enplaned very nicely
por Georji G•
por Hadi F•
por J.A. M P•
The course offers a great introduction to TensorFlow methods for handling data, training models, and inferring results. Two things could be enhanced, in my opinion:
1) A better estimate of the time required to read the materials and do the exercises (the course takes less time than stated).
2) More in-depth explanations for certain parameters (although it could be argued that you should just follow the other deeplearning.ai specialisation for that).
Overall, though, a great crash-course for getting started with Tensorflow!
por Hao H•
I took this course after taking deep learning ai CNN course. I found this course complement the other course really well.On itself, it is a little thin on theory size, but if you have already taken the other course, then this is a great consolidation of the material.
por Arkady T•
It take some time to change the code and run examples from this course with TensorFlow 2.0 locally on my computer. Today TF 2.0 is state of the art and required in practice. Please rewrite code for TensorFlow 2.0
por Kumar N S•
More or less the course takes on Tensorflow's implementation of Keras rather than Tensorflow native env. It also only focuses on computer vision domain. Kind of misleading course title.
por yuan j•
Learn a lot of tensorflow basics, which is good. However, the course is very short and easy to complete, and I cannot apply the neural network learned in this course to actual work
por Guillaume G•
Ce cours balaye les fonctions de bases de la librairie d'abstraction Keras et permet de construire rapidement des réseaux de neurones complexes.
por Rudresh M•
When each layer visualization was taught, I didnt get that part nor in the program. Else its a great starter course