great introductory stuff, great way to keep in touch with tensorflow's new tools, and the instructor is absolutely phenomenal. love the enthusiasm and the interactions with andrew are a joy to watch.
Nice experience taking this course. Precise and to the point introduction of topics and a really nice head start into practical aspects of Computer Vision and using the amazing tensorflow framework..
Exercise_4_Multi_class_classifier_Question-FINAL has problem if you entirely follow the tips, you can find the correct code in the forums.
por Gianluca T•
Very nice and interesting videos, cool concepts, amazing datasets. Exercises lack sometimes clear objectives, or provide unclear feedbacks
por Rodolfo V d A•
I guess one thing was not studied, the method .flow() which get the images generated by keras with the dataset labeled for the final test.
por Shubham S•
Lectures videos are amazing but the only problem in programming assignments. Programming assignments should have been properly designed..
More detail videos or links,examples for important techniques like dropouts and for like multi class classification which may be optional
Content was great. It was insightful. However I felt, in few assignments, the instructions were misleading and took some to figure out.
por Ghifari A F•
The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.
por Nikos R•
Very good course to get you started on convolutional neural networks. Week two had a small problem with the programming assignment.
por Brian ( B•
very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.
por revant t•
Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.
por Hang N•
This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.
por Przemysław D•
Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.
por Balaji K•
Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !
por Bhabani D•
Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.
por Ricardo F•
Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!
por Benjamin S•
A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.
por Wiput T•
It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project
por Josian Q•
Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.
por Jaap d V•
Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life
por Kevin H•
End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.
por Carlos D R•
Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso
por Arpit G•
Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.
por Dr P M P•
Course is good to start but it should include other aspects of neural network than image processing.
por Muhammad A B•
This was hard, but I feel like I'm getting the hang of it. First course now feels awfully easy lol!
por Yeo L K•
A little too simple, would appreciate a deeper dive into the classes and methods of the tf library.