Very nice and interesting videos, cool concepts, amazing datasets. Exercises lack sometimes clear objectives, or provide unclear feedbacks

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.

The tutorials were easy to follow and I think the assignments were nice because some parts were easy, but some parts had some challenges.

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.

The course is very useful for practical purposes. But this course didn't cover some advanced topics such as object detection and GAN.

Very good course to get you started on convolutional neural networks. Week two had a small problem with the programming assignment.

very practical courses on implementation of CNN in tensorflow. Suggest student also take the deeplearning series with this series.

Programming assignments could have been better. The programming assignments at the end of each week were not challenging enough.

This course offers more executable functions than actually helping you understand (in-depth) how neural network really works.

Good content and Lawrences technique was great. But it took a bit longer where assistance was required during assignments.

Instructors are really good, but in my opinion, this course should contain Object Detection and Object Segmentation topis.

Short, crisp and to-the-point discussions... Complex practice exercises designed as easy ones for learners. Well done !

Great introductory course to learn the application of TensorFlow with Keras in the field of Convolutional Neural Network.

Excelent course! The examples could be more elaborated, but this is a minor issue. Congratulations, and thanks a lot!

A lot of learning material to digest but at the the end of the course you really have the feeling you've progressed.

Programming assignments need a little more comments and illustration to save more time. But it still amazing course

It the great course and good explainataion. Tensorflow 2.0 is quite good for quick development tool for AIT project

The lectures are great but some of the programming assignments deviate from the code taught and lack guidance.

Overall it was really good. Some of the code needed tweaking and the final test was not so easy to get right.

Thank for a great course. Please make the code samples it work for TF2.X the TF1.X has run out of shelf life

End assignment uses skills not practiced in the course itself. Otherwise very smooth and well presented.

Es una gran continuación al curso anterior. No se puede hacer sin haber hecho previamente el otro curso

Good and clear explanation of the basic concepts . But assignements quality can be certainly improved.