I loved the course from the very beginning. The structure of the course is well designed for a student like me. Instead of making long videos on a topic, each video explains only a small topic and is 4-5 minutes long. Special thanks to the class instructor Laurence Moroney who explained advanced topics so quickly and clearly.

The course is really great! Besides containing loads of useful information and being totally ML-novice friendly it has a huge amount of links giving a better understanding the ideas under the hood and practical implementations of knowledge! Quiet sure that the further parts of specialization are of the same high quality!

In this course I was able to put into practice and learn even more, much of what was taught in Professor Andrew N.G's Deep Learning Specialization. Many concepts about neurons (Dense), about Flatten, and as well as manipulating images to work with computer vision, were excellent to improve and consolidate these concepts.

A very well structured course that introduces the learner to the basics. The instruction is clear, exercises are easy to follow. You can see that the instructors have put a lot of thought into the design of this course I enjoyed every minute of every video and every line of every exercise. Thanks, Andrew and Laurence

A very well-presented, well-structured course with a good balance of theory and practice. It was fun, and I learned a lot.

The two presenters both have a warm style and a deep knowledge of the subject.

An excellent starting point for Python-literate developers who want to get to grips with TensorFlow and Deep Learning.

Laurence Moroney explains the intuition behind some NN concepts quite clearly. He is a "coder's mentor" in the positive sense of the expression. Of course, it is ideal if one already had done the deep learning specialization. I understood better some of the concepts if first learned in the earlier specialization.

I really liked the way the mentor went through the course. I believe there is till a lot to learn about tensorflow and deep learning and i am looking forward to the next courses ! I also want to say thanks to the mentors for providing my scholarship because i won't be able to study and enjoy this course without it!

I think its a compact course with a great amount of information put together. I think that the course has very good balance of basic and advanced information. The course instructor takes very simplified way of teaching, like walking the learners through the codes and explaining how everything works. Great course!!!

A while back I chose to do Java over Python because I thought it was easier. Looking back now, I realise that it is the other way around. I have learned about Tensor flow and Convolution Neural Networks and as it turns out, Python is 10 times easier than Java. I am glad I tried out this course.

Thanks a lot Coursera

I liked the course very much!

It is definitely required to know python quite well and would be good if one had a liitle bit of pre-knowledge in the field of ML / Stat or equivalent.

Everything was very well explained, the exercises had exactly the right amound of complexity and I never felt "lost" during the course.

The tutor Laurence Moroney is very good in explaining Neural networks basis with Tensorflow. I highly recommend this course to any individual planning to become ML Engineer. I would still look up for indepth study on some topics like knowledge on when to use different number of ConvNet filters (eg. 16, 32, 64 etc)

I think this course is great, serves its purpose of introducing TensorFlow as a tool. For people who are looking for more in-depth knowledge of deep learning, you should go for a proper deep learning specialisation. This one is great for people who already know something about deep learning but new to TensorFlow.

it gave a very good introduction to tensorflow . i realy like the course. I had spent a lot of time learning algorithms, working and the theory behind artificial intelligence .this course has helped me to put all what i have learned to practical use. i suggest this to all those who want to atart with tensorflow.

Very crisp and clear understanding of Tensorflow in AI , Deep learning.

Post this course I am well versed with programming paradigm of Basic NN, Convolutions, MaxPooling, Filers , CallBacks , model training,validation, prediction. Appreciate the exercises and explanations. Feeling handful of experience with it.

That was interesting and not hard, so you won't be afraid of coding =). I do not recommend to take this course if you have no theory base regarding NNs (in this case first complete DL specialization by deeplearning.ai). This course is high-level, expecting more of deep dive in the following courses =). Peace!

Solved a lot of my problems that come up to me when I read the code written by other people in Github/Kaggle. I have taken ML course with python. (no framework) This would be a great material for someone like me who know some ML and don’t know Tensor-flow. You can go over the whole course in just 1-2 days.

This course provides knowledge about Tensorflow APIs, not the fundamentals of Deep Learning. So, I highly recommend learners to complete Deep Learning Specialization course offered by Deeplearning.ai first. This course will refresh all the concepts. Course covers all the scopes for what it is developed.

For someone new to AI/ML, this is a good place to start. If you're already familiar with deep neural networks, conv nets, ect (as explained in Andrews Deep Learning specialization) this course will be a breeze, but it will teach you how to use tensorflow as intended. I did this course in about 3-4 hours.

The best practical oriented and hands on course on Tensorflow, highly recommended. Laurence Moroney (Google) is a great teacher, love his pedagogy, he does not delve too much into mathematics and still makes concepts very clear, because of this I could finish the course in 3 evenings instead of 4 weeks.

I loved this course! Thanks to Professsor Moroney for his excelente lectures.

(If a could contribuit with some thing, maybe more exercises and few more explanations about the parameters on function. Of course, wether the explanation on parameters come in futures course, please desconsider my comment. )

Great course, I was really interesting. Just one thing the notebooks are not well explained like we're used in the deeplearning.ai with Andrew. But no problem it makes it more challenging. Another thing, I don't know if this course is using the new version of tensorflow but I hope it's using it (2.0).

as a beginner i have no idea on how to implement the CNN even though i know the concepts of CNN it was hard to implement but this "Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning" gave me a basic idea on how to implement them and the tutorial was too good

A course well designed for those who prefer a hands-on approach to learning and development in the AI-ML space. Thank you Laurence, Andrew and the Coursera Team for helping me understand the basics of Neural Networks, TensorFlow and the practical applications of the technology through this course.

Although this course is titled as Introduction to TensorFlow, It has tought me how to apply my theoretical knowledge on deeplearning using Tensorflow. I must certainly advise people how have learned or study deeplearning to pass this course, As it would teach you exciting materials on this topic.

It was short and crisp, if assignments were bit more challenging it would have been a great learning. All things to the point no hour long videos to bore us. It is recommended for beginners. For mid to expert level u can complete the whole course in 4 hours with all the reading and assignment.