Very well organized. Good speakers. Content is comprehensive for a Introductory Course. A little more explanation on Validation versus Testing and on some of the evaluation functions would be helpful.

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.

First of all, thank you coursera for this such a great learning experience, autograder was a bit problematic, but if you want to learn basics of tensorflow i think this course is great way to start.

An excellent introduction to Neural Networks! At times, the exercises were quite easy. If the instructor could give more external links to datasets, it would allow students to try it themselves.

Una muy buena introducción con bastantes ejemplos y notebooks para experimentar por tu cuenta. He echado en falta tal vez algo mas de dificultad, de profundidad, pero para empezar es perfecto!

Love the material, Laurence is a great instructor. There were some strange technical issues with the exercises that should be improved, but other than that I've learned a lot! Thanks guys :)

It is a very good introduction course with ample opportunity to go deeper with hands-on exercises. It will be a 5 star course if the memory problem in the last exercise is better explained.

The course should included some information of how the hyper parameters of different models should be tuned and what are their effects.

Apart of that, the course was very comprehensive !! :)

Great intro to TensorFlow and Deep Learning for the typical software engineer. Week 4 could have been a bit more detailed - Week 4 tries to cover too many stuff. Week 5 recommended :)

It was a really nice introduction to deep learning , And the Course was broken down to be simple for beginners . Eagerly waiting to complete the next 3 Courses in this Specialization

This course gives a good introduction to tensorflow with explanations of each parameters used be it layers or filters. It mainly gives an experience of hands-on course on tensorflow.

First of all the video lectures were greatly informative and I was able to understand in one go. The extra exercises for getting hands-on was very helpful. Very nicely built course.

Errors like "Can't compile the student's code. '>' not supported between instances of 'NoneType' and 'float'" just because of usage of "acc" vs "accuracy", somehow could be fixed.

The course structure is very nice. One thing that needs to be improved is that each and every code line should be explained properly instead of explaining the whole block at once.

easy to follow videos. great paste on code walkthrough. the notebook running environment needs to be turned to use correct tf versions. there are a lot of confusion in that area!

The course content seemed to be fairly less. For people with prior knowledge in tensorflow, it acts a quick refresher. The tests were pretty easy, hoped for something difficult.

Its a good introduction for beginners to tensorflow library. I would suggest first clearing your fundamentals of machine learning and computer vision before taking this course.

It is very good introductory course, however, it doesn't dive deep into the math behind the concepts or the other codes in the notebooks. But definitely a good starter course.

The course was great, and it was a wonderful introduction to Tensorflow, I would like to go beyond the basic, having more technical material that cover the topic more deeply.

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.

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.