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.
von Hanan S A•
The course is very well organised. I enjoyed working on the programming exercises.
von Sergey A•
The lessons are clear and easy to follow. Great basic course to start with.
von Suddhaswatta M•
Please add learning rate reduction in basic course.Thanks !! in advance
von 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
von Abhijeet M•
I really enjoyed this course and learned a lot from this course.
von LAKSHMI V•
Good understanding of CNN by linking Andrew Ng teachings
von Samarendra P•
Excellent set of videos and practice assignments!
von Jui W•
This is a very nice introduction to Tensorflow.
von Min H S•
Thanks for awesome lectures.
von Ahmed S•
Good Course but too short!
von Juan A•
Another Amazing Course :)
von Jun W•
Brief and interesting.
von akash k d•
Enplaned very nicely
von Georji G•
von Hadi F•
von 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!
von 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.
von 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
von 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.
von 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
von 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.
von Rudresh M•
When each layer visualization was taught, I didnt get that part nor in the program. Else its a great starter course
von Lu A•
It's relatively simple course if you've already finished Andrew Ng's deep learning specialization