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.
By Arun K P•
Good introductory courser to step into AI , ML and DL world with computer vision application
By Jiaming W•
Lots of practice and visualization, machine learning is friendly explained in this course.
By Hanan S A•
The course is very well organised. I enjoyed working on the programming exercises.
By Sergey A•
The lessons are clear and easy to follow. Great basic course to start with.
By Suddhaswatta M•
Please add learning rate reduction in basic course.Thanks !! in advance
By 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
By Abhijeet M•
I really enjoyed this course and learned a lot from this course.
By Lakshmi V•
Good understanding of CNN by linking Andrew Ng teachings
By Samarendra P•
Excellent set of videos and practice assignments!
By Jui W•
This is a very nice introduction to Tensorflow.
By Min H S•
Thanks for awesome lectures.
By Ahmed S•
Good Course but too short!
By Juan A•
Another Amazing Course :)
By Jun W•
Brief and interesting.
By akash k d•
Enplaned very nicely
By Georji G•
By Hadi F•
By 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!
By 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.
By 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
By 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.
By 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
By 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.