Learner Reviews & Feedback for Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning by DeepLearning.AI

A very accessible course and very practical as well. I would recommend to study a course like Machine Learing by Andrew Ng as well to get a better understanding of the foundations of neural networks.

Teaching is great and the materials worked flawlessly. Many thanks!

This is an introductory course focusing on TensorFlow so I think the course designer makes a good balance between fundamental knowledge of machine learning and the Keras tool. It also starts with simple codes and gradually adds complexity. Well done deeplearning.ai

Excellent course to start Deep Learning with TensorFlow. Step-wise brief description gives good insight about the subject which help in building up minimum understanding required. Thank you Andew Ng, Laurence Moroney and deeplearning.ai for this wonderful course

Extremely good beginner's course on ML. Course deliver what is says it would perfectly.

Really practical as well since we immediately deal with code after getting done with the concepts and technical jargons.

I enjoyed and learnt a lot from this course, Thank You.

From this course, I learned about how to use TensorFlow to built convolutional neural networks for image recognition. I love the course and it was a wonderful experience for my learning process. I am grateful to your help that I got the Finance Aid.Thank you!

This course could lead you in a few hours to build a fully advanced classifier using TensorFlow and Convolutional Neural Network. It is purely practical which I was looking for after Deep Learning specialization. Well prepared, all coding and was lots of fun.

Really loved taking this course. The clarity on every explanation given by Laurence on this introductory course is phenomenal.

Laurence and Andrew - Thank you for inspiring millions and bringing in online learning to a whole new level.

Thank you,

Jayadev Bhasi

This course is a very practical into to ML with TensorFlow, it focuses on live coding examples rather than a lot of theory. I highly recommend it especially if you have ML background and just looking to refresh your knowledge and explore TensorFlow and Keras.

Finally, a course that describes step-by-step how these networks process the data. The instructor was warm and likable. The notebooks contained documentation that aligns with the lecture. I plan on taking this course again to further concretize the learnings.

The instructor has great humour which makes learning very fun and great. The focus of the course was on implementation of concepts using Tensor Flow rather than on the mathematics behind them. I would totally recommend this course to beginners in AI and ML.

This is really a great course. The professor teaches the use of Tensorflow from very simple models to fairly real-life examples. He also raises inspirational questions and leads us to playing around the codes to better understand the theory behind outputs.

Really well paced course and amazing material. Exercises leave you wanting more, in the sense that they really spark your interest to research more about the topic. Assignments are well structured and lend themselves to a seamless learning process. Thanks!

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.

for what it was that it is great. there were some hacky learning curves, i.e., all of the problems can be solved using creative copy and pasting of previous material. But I thought, hey, if I know the code well enough that I can do that I am learning.

Labs are awesome! you learn by doing! I really appreciate the explanation of each parameter in tensorflow, which helps me understand how to use it in different scenarios. I will recommend this course to anyone that is interested in machine learning.