Kursteilnehmer-Bewertung und -Feedback für Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning von deeplearning.ai

The course was great. However, the programming assignments sometimes didn't have details. Like in one assignment we had to use the reshape() method, but there was no instruction about it. I basically tried it by seeing some errors and from my previous knowledge of Deep Learning practice. Such clarifications should help the course get better remarks.

GRACIAS POR TODO!!! Este curso es muy bueno para quienes estamos empezando con TensorFlow. Explicaciones fáciles de seguir y ejemplos muy didácticos. Lo recomiendo al 100%.

THANK YOU FOR EVERYTHING! This course is very good for those of us who are starting with TensorFlow. Easy to follow explanations and very didactic examples. I recommend it 100%.

One of the best course I ever took. Laurence Moroney demonstrated the power of Tensorflow in an easy understandable manner. We quickly moved from modeling with simple algorithms to more powerful CNN. The most admirable feature of the course is the Colab notebooks and exercise it is helping us learn better.Thanks for the wonderful course Laurence.

It was a thorough introductory course on Tensorflow and Neural Network algorithms. The lessons were perfectly passed and the resources like Google Colab notebooks helped in understanding and working out more examples on our own. Really suitable for beginners in Deep Learning with some previos knowledge of Machine Learning and Python programming.

Loved it! before i used to think AI is not for me as it has complicated math and i'm not very good at it but as started watching this course, my thinking about AI has changed a lot and it made me realize that it's not that hard if you do it by your complete focus and concentration, thank you for making this course super friendly to beginners

Exactly what I was looking for: practice since the beginning in Tensorflow. Very recommended after the Coursera Deep Learning Specialization (https://www.coursera.org/specializations/deep-learning). Looking forward to the next courses of Tensorflow in Practice Specialization (https://www.coursera.org/specializations/tensorflow-in-practice).

Very informative and beginner friendly!! I was kind of nervous to start this course because I was intimidated by the title of the course. At the end of the course, here I am thanking myself for starting this course because now I've got a perfect start to learning deep learning with Tensorflow. Kudos everyone who put this course together!!

This course is coming for me after the Machine Learning course from Andrew Ng and it gives very hands-on answer to theorical part deep dived. Tensorflow is really easy to jump in, and this course give a perfect overview of the potentiel. I really enjoyed the Convolutional explanation about why they are more efficient than traditionnal NN

Great lectures with step by step example and exercises. Just some problem with the week 4 example environment which unable to reproduce the accuracy rate onto another flesh opened colab python2 notebook by some unclear reasons. I would like to know how to debug deep learning networks and wish to learn some more knowledge this topic.

Great course. It is mainly focused on the Syntax and use of Keras with TensorFlow for machine and deep learning, which makes it perfect if you already know the concepts and are learning a new framework.

Only thing to watch out for is parts of the videos are outdated as they are using tf 1.x instead of 2.x, which is the newest version.

An excellent step by step introduction to the Keras Deep learning framework. Also check this out if you're planning on taking the deeplearning.ai Deep learning specialization .

Also excellent is that the exercises can be done on https://colab.research.google.com, so you don't need a strong computer, or to spend time on installations.

The course and the teaching style of Dr Laurence Moroney combine both taking baby steps and working with code together, which works really well for me. I've tried a lot of different courses/ tutorials but it's either they dive into code too deep or they dive into theory too deep. This one however does both but increases gradually.

This course very quickly made me appreciate the use of convolutional neural networks in computer vision. It focuses on the use of a few functions available in Tensor Flow and Keras for deep learning without going too much into the algorithms that power them. This makes it an excellent starter course in deep learning using python.

Nice introduction to Tensorflow, Callbacks and Convolutional Layers. As this is a course on intermediate level, I recommend you take the ML and Deep Learning courses by Andrew Ng first. With the knowledge from these courses you will get way more out of this one (which then is just what it says: An Introduction to Tensorflow).

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!

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!

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.