Videos are fantastic, especially when visually illustrates max pooling and convolutions. course works are somewhat seemed like fill the blank type of assignment and does not require deep understandings.

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.

The course is good for getting started with Tensorflow and Keras. But, I think the portion where each convolution was visualized, in the later assignements, could be explained in more detail.

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 !! :)

i think this a very important course for the people who want see deep learning in action. Tensor flow is very practical tool and the instructor explain it very well. thanks for every thing

Good Intro, esp for people who want hands on without writing much code from scratch. A lot of learn, watch and reuse examples. Overall great intro to the concepts and building components.

Great instructor, quite engaging and fun material, but it's a bit too high level. Also, if you've already had some experience with TF or Keras, this course will be way too easy for you.

actually, we get the introduction from a practical prespective more than a theoritical one, but overall it was so useful and helpful for me, thanks for this effort, big love from Egypt

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.

This course was very easy and only took a few hours to complete. That said, I felt like I learned something about TensorFlow so it was worth spending a few hours working through it.

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.

It is an excellent course which makes us familiar about the utility of the Tensorflow in building the NN. Also, it briefs about the utility of CNN in handling large amount of data.

Really good high-level overview of basic machine learning. But I highly recommend doing your own studying and using this to enforce what you've learned to really get a grasp on it.

Very nice introduction to neural networks with Colab, TF. Keras. Labs had minor glitches but it's okay as some troubleshooting experience would never hurt for better understanding

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.

some labs namely week 3 should be updated so that the alot of error of the student could not came and students had not to wast allot of time just to debugging in the perfect code