It is good introductory course for tensor flow and CNN. I had previously been working using tensor flow at my job and a GATECH OMSCS Graduate so this one wasn't too bad but help to fill in some gaps and showed me some helpful tips when using tensorflow!

This is wonderful course. I always wanted to learn Deep Learning concept and apply on real image data, but I did not know where to start. This course gives me a path to learn and apply deep learning on images using TensorFlow with very few lines of code.

Really helpful course, everything that they teach becomes really easy to understand. This course has elevated my interest in AI and I am really thankful to courser for providing such a course for students and spreading the knowledge throughout the globe.

A good course to take after finishing up the deep learning specialization from deeplearning.ai. The videos are great review, and the assignments have much less completed for you meaning you have to do the work and learn out to practically use TensorFlow!

Solid course. The exercises are a bit too much pre-setup, but not by much. Layer visualization is used extensively but unfortunately not covered at all. I think it should be as it is important for understanding and troubleshooting. Nevertheless, 5 stars.

Good introduction to Tensorflow and its semantics. Looking forward for another courses in this lineup.

Thank you Moroney, Andrew Ng and Coursera for a fantastic introduction course.

I loved the projects at the intro stage, and these were so well explained.

A basic introductory course, good introduction to get up and running with basic Tensorflow. Did a good job focusing on the task at hand and a good job referencing outside material for depth where it was useful but out of scope for the aims of the class.

This course helped me to learn Deep Learning in the same way a machine learns from data. Without having much theoretical knowledge, now I can build basic model & run it. Thanks a lot to deeplearning.ai team for proving such a practical oriented course.

I really like the way the course was simplified. I would recommend people to explore Machine Learning and Deep learning specialization offered by Andrew NG for in-depth knowledge of the concepts. Overall, this course was amazing and my time worth spent.

Tried multiple MOOCs to learn tensorflow. By far the simplest to catch up on and most well explained. Explanations were given were each line of codes, quite literally. The practice notebooks helped out a lot in getting my own hands dirty with the code.

Its really superb course. Easy to understand the image classification problem and solve using deep learning neural networks. Practical approach and hands on assignment helps to get confidence for using CNN and DNN for image classification applications.

This course not only has great contents also have a straight forward way to teach introduction for Deep Learning with TensorFlow. They skipped the complex math and Neural Network components in the front to focus on Machine Learning cases to solve.

Great Course!!! I am very grateful to deeplearning.ai team from providing a platform to learn this kind of stuff which not only provides new employment opportunities but also provide confidence to do a lot interesting stuff !!!

Thank you very much!

Excellent, you learn the tools in code to go straightforward from theory to coding, solving the problem of a lot of code read large sets of images and label their classification. The course also reinforce fundamental concepts of machine learning.

Great course - especially considering how easy Keras makes in creating DNNs and CNNs. Thoroughly enjoyed this course and would highly recommend to anyone who wants to learn how to prototype and build quick model POCs for your business objectives.

Loved the course, thank you! I do wish that the exercises emphasized testing validation more as opposed to just training validation. I'm hoping to learn how to use callbacks to cutoff training after a certain testing validation level is reached.

Very good explanation and notebooks to explain and practice contents. The auto grader is very frustrating though and sometimes the Exercise notebooks could not be open (on Mac Safari). In such cases, you will have no chance to pass this course.

This was the one of the best course I have came across which give a complete understanding of artificial intelligence and how to user neural networks to any problem,It is a course for beginners with a lot of hands-on experience with TensorFlow.

Hands on and well structured. Doesn't overwhelm you, yet you get a good sense of having programmed and learnt it. Like the idea of making notebooks available in collab and for download so that assigments can be tried out and you can experiment.

Wonderful course for beginners or someone who is looking to start understanding machine learning. Teaching is great, examples even though they are complex are explained with such ease that you don't feel lost at all. Great course overall.👍👍👍

Very informative course, the notebooks are more helpful than the videos. I am very happy with the automated grader instead of peer-review which is employed in many other courses and which definitely does not work as well as it is supposed to.

i loved this course ..and a little issue of submisson page if i delete the code it saves the point quickly where i cannot know the question i need to answer ..apart from that , this is a excellent course for people who are learning tensorflow

very good material for beginner who is interested in getting into the Deep Learning domain by using the tensorflow. It also includes several representative examples so that students can easily know what tensorflow and DL are capable of doing.

Thanks for this beneficial and well-organized course. It's so proper for introduction course and contains very informative exercies. Also, resources are good enough for introduction. I really enjoyed and learned basics of TensorFlow and CNN.

This course is an exceptional place to enter the world of Machine Learning. I learned many of the basics and the teaching was exceptionally good. I am starting to make sense of how models and training work and am not motivated to learn more.