During week 3 and 4, much more information appeared compared with week 1 and 2. It got quite difficult. I would say this could be more balanced by adding an additional week.

Great course but should go in-depth about the functions used. Also, the part about making a custom classifier for multiple categories (more than two categories was missing)!

Some minor but annoying mistakes prevent the highest score. The introduction is easy to understand. Exercises and examples are easy but helpful for understanding. Great job!

A very thorough and dynamic course, that helps you understand exactly how to build a basic NN using tensorflow and keras, though the programming exercises are very simple.

The course is well and truly good, I just want a feature like having a section called 'resources' so that for each week we can go to that section and access the notebooks.

I really liked the course, the teacher is great, the examples are clear and easy to follow, the jupyter enviroment is a little buggy when trying to download the notebooks

The instructor is really good at conveying the concept across. However, I would like to see better assignments that would force me to use the concepts that I had learned.

Great course, somtimes the assigments are difficult to pass because of semantics (like .. i shoudnt add more cells... if you can just write it it would be wondefull :) )

The instructor is explaining really nicely but some of the aspects of the code is not explained vividly.If that is included , then the course can definitely be perfect.

a short description about everything would have really helped instead of referring to another course/set of videos.This would have helped to focus on this course only.

This course is a very fast and comprehensive introduction to how to use the tensorflow framework to quickly build your own model and use the prepared data to train it.

This course provides a great introduction to tensorflow for those with no direct experience. Though it may seem a bit basic if you have even a few weeks of experience.

Excellent course for beginners or people experienced in other frameworks desiring to quickly get up to speed with TensorFlow; worth it only if you cram it in a week.

This was a good first course on using TensorFlow going from simple linear regression to CNN. I would definitely recommend this course for anyone new to TensorFlow.

It is very interesting course and easy to follow for beginners of tensorflow provided that student have some introductory background knowledge of machine learning.

I think there can be more reference videos so that we can understand in depth about how convolution works! but these videos do help maximum to understand concepts.

The course was quite interesting and the assignments given were also hard to solve, so I enjoyed solving them but submitting those assignments was a bit annoying.

As someone who has used Tensorflow and Keras before, this course was a good refresher and even helped me learn new things such as callbacks and image generators.

Generally really good, the only problem was that the notebook for one lab had an error in it that kept it from being useable. Aside from that it was very good.

Its a short course which introduces you to basics of building neural network but if you know that you can definitely skip this course and maybe do the next one.

Instructor helped me to understand the value and usefulness of the subject matter covered by the course.The assignment were relevant and helpful to my learning.

I would like to thank Laurence Sir for creating this course in collaboration with DeepLearning.AI and help us to give the recognition of Tensor-Flow Developer.

Cool videos, but the course is a bit tiny and basic. Also, it will be great if Colab tasks are more or less different from the graded programming assignment.

it was a little too basic. I was expecting to learn tensorflow and not keras.

And also the grading system is a struggle.

Apart from that the teaching was great