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.
por Xiaobo T•
Very good illustrate some basic knowledge and practices of CNN, it is a good start for new learners
por Ahsan A•
it's my second Experience with Andrew Ng. I've learnt so many things from scratch in this course.
por Arun K P•
Good introductory courser to step into AI , ML and DL world with computer vision application
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 nick b•
Thank you for this course. It really helped me understand different concepts.
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